- September 2025: Wrapped up an incredible summer internship at Netflix
- June 2025: Paper 'AI-enhanced semantic feature norms for 786 concepts' won Computational Modelling Prize in Applied Cognition at CogSci 2025
- April 2025: The same paper won the Best Paper Award at the ICLR 2025 Birectional Human-AI Alignment Workshop
- March-April 2025: The paper was accepted as an Oral at the ICLR 2025 Birectional Human-AI Alignment Workshop and as a Talk at CogSci 2025
- March 2025: Received the Schwartz fellowship ($5000) to support research on understanding how task objective shapes representations
- December 2024: Co-organizing the ICLR 2025 Workshop on Representational Alignment (Re-Align)
- November 2024: Accepted offer as a ML Research Intern at Netflix for Summer 2025
- September 2024: Paper 'Probing LLM World Model: Enhancing Guesstimation with Wisdom of Crowds Decoding' accepted to NeurIPS 2024 Workshop on Behavioral Machine Learning
- September 2024: Paper 'Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning' accepted as a Spotlight at NeurIPS 2024 datasets and benchmarks track
- June 2024: Started as an Applied Scientist Intern at Amazon AGI working on generative recommendation systems using LLMs
- April 2024: Paper 'Learning interactions to boost human creativity with bandits and GPT-4' accepted to CogSci 2024 in Rotterdam
- March 2024: Gave an invited talk on 'Semantic reprresentations in minds and machines' at PDP seminar at Princeton University
- March 2024: Paper 'Simulating Opinion Dynamics with Networks of LLM-based Agents' accepted to NAACL 2024
- February 2024: Two papers accepted at ICLR 2024 workshop on LLM Agents
- February 2024: Two papers accepted at ICLR 2024 Workshop on Representational Alignment
- December 2023: Received departmental travel award of $1500 to present research at EMNLP 2023 in Singapore
- September 2023: Paper 'Conceptual structure coheres in human cognition but not in large language models' accepted to the main track at EMNLP 2023
Research Experience
- Research in the Psychology Department and the Computer Science Department at the University of Wisconsin-Madison
- ML Research Intern at Netflix for Summer 2025
- Applied Scientist Intern at Amazon AGI starting June 2024, working on generative recommendation systems using LLMs
- Presented talks and papers at multiple international conferences and workshops
Education
PhD, University of Wisconsin-Madison, Cognitive Science
Background
A fourth-year graduate student in the Psychology Department and the Computer Science Department at the University of Wisconsin - Madison. Interested in the intersection of Cognitive Science and Artificial Intelligence, using computational modeling techniques like Deep Learning and Machine Learning to understand how our minds represent semantic information. Also uses techniques from Cognitive Science to understand semantic representations in AI models.
Miscellany
Personal interests include participating in academic activities, giving talks, and writing papers.