AI and Machine Learning Training Program, Open to the University Community

Mon Jun 15 2026 at 09:30 am to 04:00 pm UTC-07:00

BSLC Room 115 | Chicago

Research Computing Center
Publisher/HostResearch Computing Center
AI and Machine Learning Training Program, Open to the University Community
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Presented by The University of Chicago Research Computing Center (RCC) and the Biological Sciences Collegiate Division
About this Event

Pre-Registration is required.

Join the RCC and the BSCD for an intensive training program exploring machine learning and artificial intelligence applications in biological and health sciences.

This program is part of the Summer Research Fellowship in the Application of Machine Learning and Artificial Intelligence in Biological and Health Sciences and provides participants with exposure to emerging AI technologies and their use in biological and health research.

Dates: June 15–24, 2026
Time: 2:00–4:30 p.m.
Location: BSLC Room 115

Topics include:

• High-Performance Computing and Unix Fundamentals
• Data Acquisition and Preprocessing
• Machine Learning Fundamentals
• Deep Learning Concepts and Applications
• AI in Medicine
• Foundational Models in Genomics
• Machine Learning and AI in Developmental Biology

Program Schedule

June 15 – Introduction to HPC Resources and Unix Computing
• Safety training
• RCC and High-Performance Computing overview
• Unix fundamentals and job scheduling using the Midway cluster

June 16 – Data Acquisition and Preprocessing
• Cleaning, normalization, and preprocessing biological data

June 17 – Machine Learning Fundamentals
• Neural networks
• Regression methods for data analysis

June 18 – Deep Learning Fundamentals
• Deep learning architectures
• Training methods
• Regularization and optimization

June 22 – AI in Medicine
• Disease prediction using machine learning
• Computer vision for radiology imaging
• Multimodal datasets

June 23 – Foundational Models in Genomics
• Sequence modeling
• Variant effect prediction
• Genetic disease risk prediction using Evo 2

June 24 – AI and Developmental Biology
• Graph theory and graph neural networks
• Single-cell profiles
• Computational models of congenital disease

Special Topics (time to be announced)
• Introduction to AlphaFold
• AI/ML Ethics
• Bio-AI Challenge Mini Hackathon

Members of the University community are welcome to attend, subject to available space.

For additional information, contact Esmael Haddadian at [email protected].

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Event Venue & Nearby Stays

BSLC Room 115, 924 E. 57th St., Chicago, United States

Tickets

USD 0.00

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