Published multiple papers in arXiv, EMNLP Findings, EACL, ACL, Applied AI Letters, and other conferences and journals, covering topics such as bias analysis in unconditional image generative models, cultural expectation alignment in text-to-image models, and parameter-efficient adaptation of unimodal pre-trained models.
Research Experience
Was a Research Scientist at Samsung AI Lab Montreal; interned at Google Brain (spring+summer 2019), Facebook AI Research (spring+summer 2017), Army Research Laboratory (ARL) Adelphi (summer 2015), and Duke University (summer 2013).
Education
Received PhD in 2020 from the School of Interactive Computing at Georgia Tech, advised by Dhruv Batra and closely collaborated with Devi Parikh.
Background
Research interests include image generative modeling, Vision-Language Models (VLMs), bias analysis in Generative AI, and Explainable AI. Currently looking for job opportunities in related areas.