Publications: Presented multiple oral and spotlight talks at major ML conferences such as NeurIPS, with one paper nominated for best paper award; Invited Talks: Including but not limited to ICML'25, Stanford NLP Seminar, ACL 2024, etc.
Research Experience
Worked for a year in the AI Solutions Lab at Samsung R&D Headquarters; Conducted research internships at CMU, UIUC/UC Berkeley, UofT/Vector, and EPFL.
Education
PhD: Machine Learning Department at Carnegie Mellon University, advised by Prof. Zico Kolter and Prof. Zachary Lipton; B.Tech: Computer Science and Engineering from IIT Delhi, thesis under Prof. Mausam.
Background
Research Interests: Making machine learning systems trustworthy enough to be safely and reliably deployed outside the lab. Areas of Expertise: Machine Learning, Improving data quality, Evaluating and mitigating neural network memorization.
Miscellany
Interests: Observing patterns and contemplating their applications; Other: Co-founder of DatologyAI, dedicated to advancing innovation in data science.