[Dinner/Merch] MATLAB @ Stanford: Biomedical Data Analysis Workflow using Low-Code and GenAI

​Overview

​Learn how you can import, visualize, analyze, and model biomedical data using interactive tools in MATLAB. Through live demonstrations and examples, you will see how you can solve steps in a data analysis workflow without writing any code yourself. The interactive tools can then generate the MATLAB code you need to programmatically to analyze your data. This session is targeted for those who are new to MATLAB. However, experienced MATLAB users will also benefit from the session as the presenter will be covering new tools, tips, and tricks from the latest releases of MATLAB, including MATLAB Copilot, a GenAI-powered capability specifically for the MATLAB desktop environment.

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​Highlights

​In this presentation, you will learn how to:

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• ​Access data from many sources (files, other software, hardware, etc.),

• ​Use interactive tools for data visualization, cleaning, and modeling,

• ​Automatically generate the code to replicate your interactive work,

• ​Use MATLAB Copilot to generate code, comments, or understand existing code, and

• ​Share your results with others by automatically creating reports.

​About the Presenter

​Dr. Reza Fazel-Rezai, with a Ph.D. and MS in Biomedical Engineering and a BS in Electrical Engineering, brings over two decades of experience in both industry and academia. As a senior research scientist, research team manager, and the founding Director and tenured full Professor of Biomedical Engineering, he has extensive expertise and background in the field.  Dr. Fazel-Rezai has authored more than 200 scientific publications, edited and published seven books, and pursued diverse research interests in biomedical signal and image processing, particularly through machine learning and deep learning methods. Passionate about leveraging and sharing his skills to help others achieve their goals, he currently serves as an ABET PEV for Biomedical Engineering, works part-time as an instructor at UC San Diego, and is a full-time Senior Science and Education Application Engineer at MathWorks.