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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250516T100000
DTEND;TZID=America/Los_Angeles:20250516T120000
DTSTAMP:20260619T061606
CREATED:20250312T233431Z
LAST-MODIFIED:20250312T233431Z
UID:25756-1747389600-1747396800@idre.ucla.edu
SUMMARY:High Performance Machine Learning Using Scikit-Learn
DESCRIPTION:Machine learning is playing an increasingly important role in science and technology. In this advanced session\, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to speed up model training using multicore processors and accelerators\, as well as techniques for out-of-core learning. This workshop builds on the foundational concepts from the first session. Attendees should have practical experience in Python programming and a solid grasp of fundamental machine learning concepts. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/high-performance-machine-learning-using-scikit-learn-3
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250513T080000
DTEND;TZID=America/Los_Angeles:20250514T140000
DTSTAMP:20260619T061606
CREATED:20250423T115438Z
LAST-MODIFIED:20250502T184140Z
UID:25896-1747123200-1747231200@idre.ucla.edu
SUMMARY:HPC Monthly Workshop: Machine Learning and BIG DATA
DESCRIPTION:Venue: OARC Portal\, 5628 Math Science Building\, UCLA \nRegistration: https://www.psc.edu/resources/training/hpc-workshop-big-data-may-13-14-2025/ \n  \nUCLA-IDRE and Pittsburgh Supercomputing Center are pleased to announce a two day Machine Learning and Big Data workshop (May 13-14\, 2025\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics including big data analytics and machine learning with Spark\, and deep  learning using Tensorflow. \nFor registration and detailed information\, please visit: https://www.psc.edu/resources/training/hpc-workshop-big-data-may-13-14-2025/
URL:https://idre.ucla.edu/calendar-event/machine-learning-and-big-data-may-13-14-2025
LOCATION:OARC Portal\, Math Sciences 5628\, 5628 Math Science Building\, UCLA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250512T130000
DTEND;TZID=America/Los_Angeles:20250512T160000
DTSTAMP:20260619T061606
CREATED:20250312T233330Z
LAST-MODIFIED:20250312T233330Z
UID:25754-1747054800-1747065600@idre.ucla.edu
SUMMARY:Binary Logistic Regression in Stata
DESCRIPTION:The analysis of binary outcomes is widespread across scientific fields. This workshop introduces the basics of the most commonly used statistical model for binary outcomes\, logistic regression. Some basic background on probability and odds will be provided\, as well as a brief review of the model itself. This workshop then covers how to run a logistic regression in Stata\, as well as estimating predictions and marginal effects\, graphing model predictions\, and assessing model fit. A little background in Stata is assumed. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/binary-logistic-regression-in-stata
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250509T100000
DTEND;TZID=America/Los_Angeles:20250509T120000
DTSTAMP:20260619T061606
CREATED:20250312T233220Z
LAST-MODIFIED:20250312T233220Z
UID:25753-1746784800-1746792000@idre.ucla.edu
SUMMARY:Learning Scikit-Learn
DESCRIPTION:Machine learning has become a key element in science and technology today. Mastering libraries like scikit-learn–a vital tool for machine learning–is essential. In this workshop\, you’ll receive a fundamental introduction to the scikit-learn Python library. For the best experience\, participants should have a working knowledge of Python and a basic understanding of machine learning concepts. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/learning-scikit-learn-4
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250508T110000
DTEND;TZID=America/Los_Angeles:20250508T120000
DTSTAMP:20260619T061606
CREATED:20250312T233044Z
LAST-MODIFIED:20250312T233044Z
UID:25793-1746702000-1746705600@idre.ucla.edu
SUMMARY:Job scheduling on Hoffman2 cluster
DESCRIPTION:In this workshop\, participants will gain hands-on experience with the job scheduling system on the Hoffman2 cluster\, the UCLA’s high-performance computing resource. Additionally\, participants will learn how to write effective job submission scripts\, allocate resources efficiently\, troubleshoot job issues\, and optimize workflows for improved performance. Whether you’re new to job scheduling or looking to refine your skills\, this workshop is designed to help you navigate the tools and processes needed to efficiently run jobs on the Hoffman2 cluster. \nInstructors: Jerry Huang and Shao-Ching Huang \nRegister Now
URL:https://idre.ucla.edu/calendar-event/job-scheduling-on-hoffman2-cluster-4
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250502T113000
DTEND;TZID=America/Los_Angeles:20250502T123000
DTSTAMP:20260619T061606
CREATED:20250423T111527Z
LAST-MODIFIED:20250616T164658Z
UID:25882-1746185400-1746189000@idre.ucla.edu
SUMMARY:Extracting low-order representations of vortex dominated flows using deep neural networks
DESCRIPTION:Speaker: Barbara Lopez-Doriga\, Ph.D.\nIDRE Postdoctoral Fellow\nMechanical and Aerospace Engineering\nUniversity of California Los Angeles \nPlace: Virtual (Register here for the zoom link) \n  \n\n\nAbstract: There is significant practical interest in understanding and modeling fluid systems\, not only to gain insights into the complex dynamics that govern them\, but also to enable their control for different purposes. These systems are often characterized by a vast number of degrees of freedom and typically demand large amounts of high-fidelity data and computational resources for accurate simulation. In this talk\, I will briefly review several fluid dynamics problems currently being tackled with the aid of large-scale computational tools\, before focusing on the specific challenge addressed by my research. \nUnsteady aerodynamic effects are prevalent in the atmospheric boundary layer and can negatively impact the performance and stability of small- to medium-scale air vehicles. This research aims to identify the parameters and physical factors that can help mitigate these unsteady effects (modeled here as vortex gust encounters) on the aerodynamic loads experienced by such vehicles. To achieve this\, we compile a dataset of gust interactions\, varying in strength and size\, with fixed airfoils of different geometries and angles of attack. We analyze the trends that emerge across these different scenarios and examine how these dynamics are captured and encoded into a low-dimensional latent space via an observable autoencoder. This framework not only enhances our understanding of gust-induced aerodynamic phenomena but also lays the groundwork for future shape optimization studies aimed at identifying airfoil designs that minimize transient aerodynamic loads. \nAbout the speaker: Dr. Lopez-Doriga recently started her position as a postdoctoral scholar in Professor Kunihiko (Sam) Taira’s lab in the Department of Mechanical and Aerospace Engineering at UCLA. Barbara received an MS and a BS in Mechanical Engineering from the Polytechnic University of Madrid\, Spain (UPM). She then received her ME and PhD in Mechanical and Aerospace Engineering from Illinois Institute of Technology (Chicago\, IL). Since joining Taira’s lab\, her interest has been in developing a data-driven machine-learning-based framework to find the optimal airfoil design and control systems for gust mitigation.
URL:https://idre.ucla.edu/calendar-event/barbara-ldoriga-may-2-2025
CATEGORIES:Conferences and Seminars,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250502T110000
DTEND;TZID=America/Los_Angeles:20250502T120000
DTSTAMP:20260619T061606
CREATED:20250312T232806Z
LAST-MODIFIED:20250312T232806Z
UID:25751-1746183600-1746187200@idre.ucla.edu
SUMMARY:Using UCLA Mobile Messaging Capabilities for Research
DESCRIPTION:Are you doing research with surveys ( in RedCap or another survey tool) and paying an outside vendor to SMS links to your participants? Did you know that UCLA has a Mobile Messaging service that can send push messages instead that is much more economial? Sending a push message to a simple mobile app costs fractions of a penny. Join this session to learn how you can use modern messaging to connect your participants to their surveys. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/using-ucla-mobile-messaging-capabilities-for-research
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250430T123000
DTEND;TZID=America/Los_Angeles:20250430T133000
DTSTAMP:20260619T061606
CREATED:20250312T175736Z
LAST-MODIFIED:20250312T175736Z
UID:25750-1746016200-1746019800@idre.ucla.edu
SUMMARY:Running Large Language Models on Hoffman2
DESCRIPTION:This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources\, optimize performance\, and interact with models through a web-based UI. The session includes a live demo\, hands-on training\, and a Q&A segment for troubleshooting and best practices. Basic command-line knowledge and access to Hoffman2 are recommended.This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources\, optimize performance\, and interact with models through a web-based UI. The session includes a live demo\, hands-on training\, and a Q&A segment for troubleshooting and best practices. Basic command-line knowledge and access to Hoffman2 are recommended. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/running-large-language-models-on-hoffman2
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250428T100000
DTEND;TZID=America/Los_Angeles:20250428T120000
DTSTAMP:20260619T061606
CREATED:20250312T175541Z
LAST-MODIFIED:20250312T175622Z
UID:25749-1745834400-1745841600@idre.ucla.edu
SUMMARY:Introduction to AI/ML/LLM for Humanities and Social Science
DESCRIPTION:As artificial intelligence (AI)\, machine learning (ML)\, and Large Language Models (LLM) technologies continue to evolve\, they offer new possibilities for humanities research\, from large-scale text and image analysis to generative AI applications that synthesize and extrapolate knowledge. This workshop introduces key AI/ML/LLM concepts\, including neural networks\, large language models\, and large image models\, while exploring their potential for enhancing research methodologies in the humanities. Participants will examine case studies\, such as computational literary analysis and image recognition in spatial studies and art history\, and engage in hands-on exercises to compare models\, craft prompts\, and assess AI-generated outputs. Beyond technical applications\, the workshop will also address critical ethical concerns surrounding AI\, including bias\, the network effects of dis- and misinformation\, and the authenticity of historical records. \nDiscussions will highlight issues of fairness\, intellectual property\, and academic integrity\, drawing from key scholarship in algorithmic ethics and data justice. By the end of the session\, participants will gain a foundational understanding of AI’s role in the humanities\, along with practical tools and frameworks for critically engaging with these technologies in their own research and teaching. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-ai-ml-llm-for-humanities-and-social-science
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250425T110000
DTEND;TZID=America/Los_Angeles:20250425T120000
DTSTAMP:20260619T061606
CREATED:20250312T170545Z
LAST-MODIFIED:20250312T175422Z
UID:25747-1745578800-1745582400@idre.ucla.edu
SUMMARY:Accessible and Inclusive Data Visualization for Research Publication
DESCRIPTION:In this workshop the DCP will lead a training on how the design accessible data visualization for publication both into PDF and html in alignment with WCAG 2.1 AA guidance. Many people with disabilities use assistive technologies. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/accessible-and-inclusive-data-visualization-for-research-publication
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250425T090000
DTEND;TZID=America/Los_Angeles:20250425T110000
DTSTAMP:20260619T061606
CREATED:20250312T175248Z
LAST-MODIFIED:20250312T175348Z
UID:25748-1745571600-1745578800@idre.ucla.edu
SUMMARY:Introduction to the Linux Shell Part 2: Shell Scripting
DESCRIPTION:Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time\, effort\, and headache. For example\, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished data products that can be published. This process can be tedious and error-prone\, and sometimes it’s not easy to reproduce. With shell scripts\, you can automate the execution of lengthy and repetitive tasks and store commonly executed commands for repeated use. This workshop will be an interactive introduction to shell scripting and help you to learn the fundamentals necessary to advance as an effective user of the Linux shell. Basic knowledge of using the command line will be assumed. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-the-linux-shell-part-2-shell-scripting-2
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250418T090000
DTEND;TZID=America/Los_Angeles:20250418T110000
DTSTAMP:20260619T061606
CREATED:20250312T170331Z
LAST-MODIFIED:20250312T170331Z
UID:25746-1744966800-1744974000@idre.ucla.edu
SUMMARY:Introduction to the Linux Shell Part 1: Using the Command Line
DESCRIPTION:The most widely used way to interact with computers is through a graphical user interface\, for example\, the desktop interface of Microsoft Windows or Mac OS. However\, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command line\, terminal\, shell\, console\, or prompt\, and while it may appear complex at first sight\, it offers a lot of power and flexibility for telling the computer what to do. This workshop will introduce you to the command line and walk you through a variety of fundamental concepts and commands. The command line is available in many operating systems\, though here we’ll use Linux. No prior knowledge is assumed. By the end\, you will hopefully be much more comfortable when you have to use the command line. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-the-linux-shell-part-1-using-the-command-line-2
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250416T100000
DTEND;TZID=America/Los_Angeles:20250416T100000
DTSTAMP:20260619T061606
CREATED:20250312T180205Z
LAST-MODIFIED:20250312T180205Z
UID:25783-1744797600-1744797600@idre.ucla.edu
SUMMARY:Running Jupyter Notebooks on the Hoffman2 Cluster
DESCRIPTION:Jupyter Notebook\, JupyterLab and Voilà are a powerful tool for interactive computing\, for proof of concept implementations and for creating interactive web applications or dashboards. Come and learn how to open Jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a mamba/python environment\, in R\, julia or many other programming languages. Augment your Jupyter session with AI and turn your Jupyter notebook into a reproducible generative AI playground. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/running-jupyter-notebooks-on-the-hoffman2-cluster
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250411T110000
DTEND;TZID=America/Los_Angeles:20250411T123000
DTSTAMP:20260619T061606
CREATED:20250312T165906Z
LAST-MODIFIED:20250312T165906Z
UID:25745-1744369200-1744374600@idre.ucla.edu
SUMMARY:Using GitHub for Continuous Integration/ and Continuous Deployment
DESCRIPTION:Do you use GitHub for version control? In this 90 minute hands-on workshop you will advance your GitHub prowess by learning how to use Github Actions to automatically and securely deploy source code across your infrastructure. Join this workshop to learn how to leverage GitHub’s advanced CI/CD tools that come with your Github Enterprise account to enhance your DevOps practice. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/using-github-for-continuous-integration-and-continuous-deployment
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250410T130000
DTEND;TZID=America/Los_Angeles:20250410T140000
DTSTAMP:20260619T061606
CREATED:20250312T175951Z
LAST-MODIFIED:20250313T184253Z
UID:25780-1744290000-1744293600@idre.ucla.edu
SUMMARY:Introduction to Overleaf: A Beginner’s Guide to Collaborative LaTeX
DESCRIPTION:LaTeX is a powerful typesetting system that is widely used for academic and professional documents\, but it has a steep learning curve. Overleaf simplifies the process of working with LaTeX by providing an intuitive interface\, simplifying document production\, and facilitating real-time collaboration with colleagues. \nThis workshop will introduce participants to Overleaf’s essential features. Topics will include setting up documents\, using the editing tools\, leveraging templates and packages\, managing citations\, and using features for collaboration and version control. By the end of the session\, participants will have gained experience in how to leverage Overleaf for research papers\, theses\, and reports. No prior LaTeX experience is required\, just a willingness to explore what the tool has to offer. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-overleaf-a-beginners-guide-to-collaborative-latex
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250404T113000
DTEND;TZID=America/Los_Angeles:20250404T123000
DTSTAMP:20260619T061606
CREATED:20250312T180604Z
LAST-MODIFIED:20250404T233956Z
UID:25785-1743766200-1743769800@idre.ucla.edu
SUMMARY:Bridging AI and Generative Models with Mean Field Control through Score Based Normalizing Flow
DESCRIPTION:Speaker: Mo Zhou\, Ph.D.\nIDRE Postdoctoral Fellow\nDepartment of Mathematics (UCLA)\nUniversity of California Los Angeles    \n\nPlace: Virtual (Link to the video recording)\n\n\n\n\n\n\nAbstract:      Generative models\, a cornerstone of modern AI\, learn to approximate complex probability distributions and generate realistic data. A key challenge in these models is efficiently computing the “score function\,” which helps guide the learning process. Interestingly\, a similar challenge arises in mean field control (MFC)\, a mathematical framework for decision-making in large-scale systems\, such as crowd dynamics and financial markets. \nIn this talk\, I will introduce a novel approach that computes MFC problems using score based neural ordinary differential equations (ODEs) and normalizing flows. We develop a system of ODEs to compute both first- and second-order score functions\, reframing MFC problems as unconstrained optimization tasks. Our method also introduces a regularization technique inspired by Hamilton–Jacobi–Bellman (HJB) equations\, ensuring better accuracy and stability. I will show applications\, including probability flow matching and Wasserstein proximal operators\, explaining how this approach enhances both theoretical understanding and practical computation in generative modeling and control. \nAbout the speaker:  Dr. Zhou is an Assistant Adjunct Professor in the Department of Mathematics at UCLA\, under Professor Stanley Osher’s guidance. He earned his bachelor’s degree in mathematics from Tsinghua University in 2018 and Ph.D. in mathematics from Duke University in 2023\, under Professor Jianfeng Lu. During his Ph.D. studies\, Dr. Zhou developed advanced deep learning algorithms to overcome the curse of dimensionality and addressed traditional scientific computing challenges\, including eigenvalue problems and optimal control problems. Currently\, his research focuses on mean-field control and games.
URL:https://idre.ucla.edu/calendar-event/bridging-ai-and-generative-models-with-mean-field-control-through-score-based-normalizing-flow
CATEGORIES:Conferences and Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250404T110000
DTEND;TZID=America/Los_Angeles:20250404T120000
DTSTAMP:20260619T061606
CREATED:20250312T164924Z
LAST-MODIFIED:20250312T165516Z
UID:25744-1743764400-1743768000@idre.ucla.edu
SUMMARY:Building Accessibility into Research Mobile Apps
DESCRIPTION:Mobile Apps like websites need to be built with accessibility in mind to comply with the WCAG 2.1 standard. Fortunately\, Mobile devices themselves have alot of accessibility features already built in. When building a mobile app\, or working with an outside vendor to build a research app as an instrument\, you should include this as a requirement upfront. This will be more important starting in April of 2026 when new ADA compliance deadlines come into play. Join us for this talk to learn how to build accessibility into your research planning process. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/building-accessibility-into-research-mobile-apps
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250321T100000
DTEND;TZID=America/Los_Angeles:20250321T110000
DTSTAMP:20260619T061606
CREATED:20250213T085451Z
LAST-MODIFIED:20250213T090732Z
UID:25485-1742551200-1742554800@idre.ucla.edu
SUMMARY:Rapid AI Prototyping with custom GPTs pt. 2
DESCRIPTION:Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs\, prompt engineering\, and turn-key solutions from leading LLM providers. This will be a hands on workshop.
URL:https://idre.ucla.edu/calendar-event/__trashed-49
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250314T100000
DTEND;TZID=America/Los_Angeles:20250314T120000
DTSTAMP:20260619T061606
CREATED:20250213T085451Z
LAST-MODIFIED:20250213T092245Z
UID:25484-1741946400-1741953600@idre.ucla.edu
SUMMARY:Parallel Transpose Algorithms: Massively Parallel Computing with GPUs Series
DESCRIPTION:Several highly accurate computational methods\, such as Fourier spectral method and compact finite difference method\, require complete grid data along spatial axes when solving partial differential equations on structured grids. However\, modern simulations often involve enormous datasets\, especially when using high-resolution grids\, that exceed the memory capacity of a single processor. This poses a significant challenge: how to efficiently process and analyze these large datasets across multiple processors without compromising accuracy or speed. \n  \nWe will explore parallel transpose algorithms designed to efficiently distribute and rearrange large datasets across multiple processors. By leveraging the Message Passing Interface (MPI)\, we will examine techniques to optimize data movement and minimize communication overhead for 2D and 3D transpose operations. These algorithms can significantly reduce execution time and improve scalability\, enabling the simulation of larger and more complex physical systems.  \n  \nThis workshop emphasizes the practical aspects of implementing these methods\, and is beneficial for two groups of people: \n  \nCoders: If you’re building your own code\, this workshop will provide practical experience in implementing parallel transpose algorithms. \n  \nUsers: If you’re using existing research code\, this workshop will help you understand its performance and potential limitations\, enabling you to optimize its use.
URL:https://idre.ucla.edu/calendar-event/__trashed-48
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250314T100000
DTEND;TZID=America/Los_Angeles:20250314T110000
DTSTAMP:20260619T061606
CREATED:20250213T085450Z
LAST-MODIFIED:20250213T090731Z
UID:25483-1741946400-1741950000@idre.ucla.edu
SUMMARY:Rapid AI Prototyping with custom GPTs pt. 1
DESCRIPTION:Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs\, prompt engineering\, and turn-key solutions from leading LLM providers.
URL:https://idre.ucla.edu/calendar-event/__trashed-47
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250310T130000
DTEND;TZID=America/Los_Angeles:20250310T160000
DTSTAMP:20260619T061606
CREATED:20250213T085450Z
LAST-MODIFIED:20250213T090715Z
UID:25482-1741611600-1741622400@idre.ucla.edu
SUMMARY:Generalized Linear Regression Models in R
DESCRIPTION:This workshop introduces the generalized linear regression model\, which extends the linear regression model to accommodate outcomes with different distributions. The workshop briefly reviews linear regression concepts as necessary\, and then discusses logistic regression for binary outcomes and Poisson and negative binomial models for count outcomes. Examples of running each of these models in R are provided. Some exposure to both linear regression and R would be helpful but are not required.
URL:https://idre.ucla.edu/calendar-event/__trashed-46
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250307T110000
DTEND;TZID=America/Los_Angeles:20250307T120000
DTSTAMP:20260619T061606
CREATED:20250213T085449Z
LAST-MODIFIED:20250213T090715Z
UID:25481-1741345200-1741348800@idre.ucla.edu
SUMMARY:Accessible Study Recruitment & Consent Process
DESCRIPTION:Planning for an accessible study recruitment effort. Advertising in accessible digital environments\, making PDFs accessible\, email outreach that is accessible and mobile app ads that are accessible. Creating a accessible digital consent pathway\, making research accessible to all.  Strategic Outcomes: – Inclusivity in community engaged research
URL:https://idre.ucla.edu/calendar-event/__trashed-45
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250303T130000
DTEND;TZID=America/Los_Angeles:20250303T160000
DTSTAMP:20260619T061606
CREATED:20250213T085449Z
LAST-MODIFIED:20250213T090714Z
UID:25480-1741006800-1741017600@idre.ucla.edu
SUMMARY:Introduction to Linear Regression in R
DESCRIPTION:This workshop teaches the basics of the linear regression model\, the foundation for most other regression models. Topics include understanding the model equation\, continuous and categorical predictors\, interpreting the model estimates\, and diagnostics for assessing model assumptions. The workshop is intended to be interactive\, with examples and exercises in R\, and assumes only introductory exposure to R.
URL:https://idre.ucla.edu/calendar-event/__trashed-44
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250228T113000
DTEND;TZID=America/Los_Angeles:20250228T123000
DTSTAMP:20260619T061606
CREATED:20250213T092721Z
LAST-MODIFIED:20250325T181632Z
UID:25536-1740742200-1740745800@idre.ucla.edu
SUMMARY:A computational framework of human voice production: Muscle activation simulation in male and female voices
DESCRIPTION:Speaker: Tsukasa Yoshinaga\, Ph.D.\nIDRE Postdoctoral Fellow\nDepartment of Head and Neck Surgery\nUniversity of California Los Angeles \nPlace: Virtual  \n \n\n\n\n\nAccess the event recording \nAbstract: Human voice production is a complex process requiring precise coordination of respiratory and laryngeal muscle activation. These components shape voice quality\, enabling humans to produce a wide range of voice types. However\, their interaction remains poorly understood\, mainly due to the challenges in directly observing the larynx. The goal of our study is to identify physiological factors contributing to individual voice differences. We propose a computational model to simulate human laryngeal muscle activation in the phonation process. By modeling laryngeal muscle activation in male and female larynges\, we examine how different muscles coordinate to posture the vocal folds in producing voices of diverse voice qualities. \nAbout the speaker: Dr. Yoshinaga is a visiting scholar working with Professor Zhaoyan Zhang in the Head and Neck Surgery Department at UCLA. He received a Ph.D. in Mechanical Engineering from Osaka University\, where he is currently an Assistant Professor. His research focuses on sound generation mechanisms in human speech and musical instruments using numerical simulations.
URL:https://idre.ucla.edu/calendar-event/a-computational-framework-of-human-voice-production-muscle-activation-simulation-in-male-and-female-voices
ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250228T100000
DTEND;TZID=America/Los_Angeles:20250228T120000
DTSTAMP:20260619T061606
CREATED:20250213T085448Z
LAST-MODIFIED:20250213T090714Z
UID:25479-1740736800-1740744000@idre.ucla.edu
SUMMARY:Introduction to Cloud Computing
DESCRIPTION:This workshop provides an overview of cloud computing concepts\, including its benefits\, services\, and deployment models. Participants will learn about the different types of cloud services and explore popular cloud platforms such as AWS and Google Cloud. The workshop covers key topics such as cloud architecture\, storage\, security\, and scalability\, offering practical insights into how campus researchers can leverage the cloud for efficiency\, cost savings\, and innovation. It’s designed for beginners with little to no prior experience in cloud technologies.
URL:https://idre.ucla.edu/calendar-event/__trashed-43
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250228T100000
DTEND;TZID=America/Los_Angeles:20250228T120000
DTSTAMP:20260619T061607
CREATED:20250213T085437Z
LAST-MODIFIED:20250213T090713Z
UID:25478-1740736800-1740744000@idre.ucla.edu
SUMMARY:High Performance Python for Data Analytics pt.2
DESCRIPTION:While Python has been the most popular programming language since 2019\, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series\, we’ll tackle how to enhance Python’s performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective tool for high-performance big data analytics.  In the second 2-hour session\, our focus will be on techniques for loading and processing extremely large datasets in Python on a single machine\, comparing dataframe implementations from Pandas\, Modin\, Pandarallel\, Dask\, and Vaex\, among others. No specific prerequisites are required to join the lecture\, but familiarity with Python’s numpy and Pandas packages will aid in fully grasping the discussed content.
URL:https://idre.ucla.edu/calendar-event/__trashed-42
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250224T130000
DTEND;TZID=America/Los_Angeles:20250224T160000
DTSTAMP:20260619T061607
CREATED:20250213T085436Z
LAST-MODIFIED:20250213T090607Z
UID:25477-1740402000-1740412800@idre.ucla.edu
SUMMARY:Introduction to Mediation Models using Mplus\,
DESCRIPTION:This workshop will introduce mediation (i.e.\, causal) models using Mplus. Explanations of the syntax and output will be given\, as well as some tips about reporting such analyses. Models with latent variables will not be discussed.
URL:https://idre.ucla.edu/calendar-event/__trashed-41
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250221T100000
DTEND;TZID=America/Los_Angeles:20250221T120000
DTSTAMP:20260619T061607
CREATED:20250213T085436Z
LAST-MODIFIED:20250213T090607Z
UID:25476-1740132000-1740139200@idre.ucla.edu
SUMMARY:High Performance Python for Data Analytics pt.1
DESCRIPTION:While Python has been the most popular programming language since 2019\, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series\, we’ll tackle how to enhance Python’s performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective tool for high-performance big data analytics.  In our first 2-hour session\, we’ll concentrate on significantly accelerating Python code at the interpreter level. We’ll demystify concepts such as the GIL and JIT and introduce packages like PyPy\, Numba\, Pythran\, and Cython. While there are no strict prerequisites for this lecture\, prior programming experience in Python will be advantageous for a complete understanding of the material.
URL:https://idre.ucla.edu/calendar-event/__trashed-40
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250219T113000
DTEND;TZID=America/Los_Angeles:20250219T123000
DTSTAMP:20260619T061607
CREATED:20250213T085435Z
LAST-MODIFIED:20250213T090606Z
UID:25475-1739964600-1739968200@idre.ucla.edu
SUMMARY:Big Data on HPC
DESCRIPTION:Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts\, this session will focus on using Big Data techniques to address large-scale data processing and complex machine learning model training on UCLAÕs Hoffman2 cluster.  Through hands-on examples and demonstrations\, participants will explore the capabilities of popular Big Data software and libraries\, including Spark and Dask\, and how these tools can streamline data-intensive tasks on HPC systems.
URL:https://idre.ucla.edu/calendar-event/__trashed-39
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250210T130000
DTEND;TZID=America/Los_Angeles:20250210T160000
DTSTAMP:20260619T061607
CREATED:20250213T085435Z
LAST-MODIFIED:20250213T090606Z
UID:25473-1739192400-1739203200@idre.ucla.edu
SUMMARY:Introduction to Survival Analysis in R
DESCRIPTION:Survival analysis models time-to-event outcomes.  This workshop introduces usage of the survival package in R for some of the most commonly used survival methods.  Topics include data setup\, Kaplan-Meier estimates and curves\, log-rank tests\, fitting the Cox proportional hazards model\, assessing the proportional hazards assumption\, and modeling time-varying covariates.  Experience in both survival analysis and R will be helpful but not necessarily required to follow the workshop material.
URL:https://idre.ucla.edu/calendar-event/__trashed-38
CATEGORIES:Training workshop / Tutorial
END:VEVENT
END:VCALENDAR