Data-Driven and Large-Scale Modeling in Neuroscience Workshop 2025

 

Data-Driven and Large-Scale Modeling 
in Neuroscience Workshop 2025

 

April 11, 2025 | 8:00 a.m. - 5:00 p.m. 

Technology Square Research Building (TSRB) 132 Banquet Hall

 

Join us for a one-day workshop bringing together computational and experimental researchers who utilize large-scale models, machine learning, and data-driven strategies in neuroscience . This event will include expert presentations, interactive discussions, and hands-on technical sessions focused on implementing large-scale computational and AI-driven models within the field. 

Participants will also have the hands-on opportunity to explore computational and ML/AI models, learning to build and run realistic simulations, and implement ML/AI models on various neuroscience datasets. By the end of the workshop, attendees will have both the practical skills and the computational resources necessary to integrate these advanced methods into their own research workflows. 

This workshop is supported by the IDEaS ARTISAN group , which provides cyberinfrastructure for neuroscience research. Through the NSF-funded Cybershuttle project ( Cybershuttle ), participants will have access to advanced computational tools and data-sharing platforms to enhance their research capabilities.

 Speakers 

 

1. Anton Arkhipov, Laura Green: Allen Institute 

2. Maxim Bazhenov: UCSD 

3. Eva Dyer: Georgia Tech 

4. Anqi Wu: Georgia Tech

5. Hannah Choi: Georgia Tech 

6. Lu Mi: Georgia Tech - https://www.cc.gatech.edu/people/lu-mi

7. Apurva Ratan Murty: Georgia Tech 

8. Nabil Imam: Georgia Tech