Welcome! I am a Ph.D. student in the Machine Learning Department at Carnegie Mellon University. Previously, I obtained my Bachelors degree in Computer Science from Bryn Mawr College and Mathematics from Haverford College, and spent a wonderful semester at AIT-Budapest.
My research lies at the intersection of artificial intelligence and behavioral sciences (psychology and behavioral economics). My goal is to develop tools for building learning systems that can infer human preferences from their behaviors, make decisions that align with human values, and interact with humans even when they are adaptive, strategic and emotional. An example of such a system is Baymax. Currently, I work on designing statistical and algorithmic procedures for (1) building machine learning systems informed by characteristics of human behaviors and (2) modeling human behaviors using data-driven approaches.
|Mar, 2022||I will join DeepMind as a research scientist intern working on Human-centered Mechanism Design this summer.|
|Mar, 2022||Our paper on Fine-grained Characterization of Loneliness got accepted at ICWSM-22, which includes a dataset (FIG-Loneliness) on fine-grained loneliness characterization.|
|Feb, 2022||Our paper on Modeling Attrition in Recommender Systems with Departing Bandits got selected for oral presentation at AAAI-22.|