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A.I. for Scientific Discovery (Parts 1 and 2)
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Thu, Mar 26, 2026
4:30 PM – 6:30 PM EDT (GMT-4)
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Details
Part 1 in Robertson Bowl 001: March 26, 2026 at 4:30-6:30 PM (Thursday)
Part 2 in Visualization Lab, Commons Building: March 27, 2026 at 12:00-2:00 PM (Friday)
The goal of this workshop is to introduce our audience coming from diverse fields to how AI can be used to aid and make scientific discoveries. Crucially, we will also focus on understanding how to use these tools within rigorously tested and verifiable pipelines.
The workshop is divided into two parts:
- Session 1: Setting the Stage (1.5 hours) Raja Marjieh and I will lead the first session. Given the diverse backgrounds of the attendees, we will set the stage by discussing broadly how AI is currently being used to accelerate scientific workflows and facilitate discovery.
- Session 2: AI in Practice (2 hours) In the second session, my co-organizers and I will present 20-minute deep dives into ongoing work to serve as concrete examples of how we use AI tools in practice.
- Younes Strittmatter on PSYCHE: AI for data curation and experimental design
- Daniel Braga / Raja Marjieh on AutoRep: AI for automated discovery of representations
- Solim LeGris on Neuro-symbolic approaches: Modeling abstract reasoning in the ARC task
- Akshay Jagadish on GeCCo: AI for cognitive model generation
Lunch will be provided on Friday, March 27 at noon.
Speakers
Akshay Jagadish
Akshay is Postdoctoral Research Fellow in Natural and Artificial Minds of the Princeton A.I. Lab.
Younes Strittmatter
Younes is a graduate student in the Psychology department.
Daniel Braga
Daniel is a graduate student in Computer Science.
Raja Marjieh
Raja is a graduate student in the Psychology department.
Solim LeGris
Solim is a graduate student in the Psychology department at NYU.