Large Language Models Show Human-like Social Desirability Biases in Survey Responses
Proceedings of the National Academy of Sciences (PNAS Nexus), Vol. 3, No. 12 (2024)
About Me
I'm a MS Computer Science student and researcher at Stanford University, specializing in Applied AI and Machine Learning.
Currently I work with Prof. Johannes Eichsteadt at the Computational Psychology and Well-Being Lab, focusing on deploying advanced machine learning models to enhance behavioral insights and well-being outcomes.
I am interested in studying all aspects of AI systems, from their training to safe deployment. Check out my latest paper that applies cognitive science and psychometric techniques to detect the presence of human-like fallacies and biases in LLMs.
Previously, I worked as a Senior Software Engineer at DraftKings on the Financial Platform team, where I developed large-scale production-grade systems that served millions of users every minute.
Outside of work, I enjoy climbing, strength training, hiking and brewing coffee.
Research
I'm interested in Generative AI (LLM evaluation, preference tuning, application building), and applied NLP (to psychology and social sciences). Featured publications are highlighted.
134
Total Citations
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Fake News Spreader Detection using Trust-based strategies in Social Networks with Bot Filtration
Social Network Analysis and Mining (SNAM) (2022)
Relationship between Citizen-Eyewitness Images and Audience Engagement with News
Journalism Practice (2021)
Influence of Emotions on Coping Behaviors in Crisis: A Computational Analysis of the COVID-19 Outbreak
Journal of Computational Social Science, 7, 1599–1623 (October 2024)
The Language of Conflict Transformation - Assessing Psychological Change Patterns in Israeli-Palestinian Track Two Interactive Problem Solving
Negotiation and Conflict Management Research (2024)
Monitoring the Opioid Epidemic via Social Media Discussions
Nature Partner Journals: Digital Medicine (2025)
Emergence and Stability of Self-Evolved Cooperative Strategies using Stochastic Machines
IEEE Symposium Series on Computational Intelligence (SSCI) (2020)
Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2020)
Public's Discrete Emotions During the COVID-19 and Impacts on Their Coping Behaviors in the U.S.
72nd Annual International Communication Association Conference (2022)
No Good Time to Negotiate? Track Two Diplomacy within the Protracted Israel-Palestine Conflict as Strategic Joint Thinking
Journal of Conflict Resolution (Under review, submitted Dec 2023)
Empirical Study of the Spread of Misinformation: A Big Data Approach
Undergraduate Thesis (Summa Cum Laude), University of Minnesota Digital Conservancy (2021)
A Computational Model of Reward Learning and Habits on Social Media
PsyArXiv Preprints (Under review)
The Answer to the Mental Health Crisis: Examining Media Bias Regarding Psychedelic Treatments for Depression and PTSD Using Natural Language Processing
Under Review
Structured AI Dialogues Can Increase Happiness and Meaning in Life
Under Review