Divya Srinivasan

Currently, I am the Lab manager and Junior Laboratory Associate jointly under the Computation and Decision-Making Lab (PI: Dr. Mark Ho) and AI Thought Partner Lab (PI: Dr. Ilia Sucholutsky) where I am broadly exploring decision-making in humans and AI systems. My current research examines how people reason about and evaluate problems. Not how they solve them, but how they judge them: whether a problem is tractable, what a piece of evidence reveals, and how much to invest before committing. I am drawn to the broader question these share, how people flexibly navigate unfamiliar systems of rules, and decide which problems are worth thinking about at all.

I graduated from NYU with a masters in Computer Science. My thesis was advised by Todd Gureckis, where I studied how humans integrate social testimony with direct experiential learning, particularly when these two sources of information are presented at different points in time or come into conflict

Previously at Anna University, I completed my Bachelor of Engineering in Computer Science. My senior thesis was advised by Joannes Sam Mertens from The University of Catania where I designed deep learning pipelines using CNN and LSTM autoencoders to capture temporal driving patterns and behavioral signatures from raw sensor data

My goal as a researcher is to understand fundamental problems about how people actually learn, cooperate and make decisions and use this to contribute to the growing interdisciplinary effort that connects cognitive modelling and machine learning!

I’m on a personal quest to find the best hot fudge out there, because priorities. So far, the top spot goes to the hot fudge from What’s the Scoop, but the search (happily) continues!

Key Interests : Machine Learning, Cognitive Modelling, AI