Hello! I am a researcher in computer vision and machine learning.

I work at Meta (Facebook) AI Research with Dr. Ari Morcos on scaling laws, self-supervised computer vision, and foundation models. Before this, I was master’s student at the University of Guelph and Vector Institute, working with Prof Graham Taylor at the Machine Learning Research Group. Even further back, I was a research assistant at the Visual Computing Lab at the Indian Institute Of Science working with Prof Anirban Chakraborty and Prof Anand Mishra. I did my bachelor’s in Electronics and Communication Engineering from Indian Institute Of Technology Dhanbad in 2017. Besides these experiences, I have over 3 years of experience in machine learning and computer vision working with NEXT-AI Toronto, Layer6 AI Toronto, Shell R&D Center Bangalore, HyperWorks Imaging Bangalore, & Samsung Research Institute Delhi.

News

• _{[Dec 2022] Attended NeurIPS 2022 in New Orleans and presented our conference and workshop papers.}
• _{[Nov 2022] Beyond Neural Scaling Laws wins a Best Paper Award at NeurIPS 2022! Press Release}
• _{[Oct 2022] New paper at the NeurIPS 2022 Self-Supervised Learning - Theory & Practice Workshop:
  Understanding contrastive versus reconstructive self-supervised learning of Vision Transformers}
• _{[Sep 2022] Life Update: I have relocated from the Bay Area back to Canada (Montreal).}
• _{[Aug 2022] Beyond neural scaling laws paper accepted for oral presentation at the NeurIPS 2022 Conference.}
• _{[June 2022] New pre-print available: Beyond neural scaling laws: beating power law scaling via data pruning.}
• _{[May 2022] Awarded the University of Guelph Class of OAC’60 Award for Outstanding Teaching Assistant.}
• _{[March 2022] Gave an invited talk at the Analogical Minds seminar on our Neural Structure Mapping paper. Talk available on Analogical Minds YouTube channel}
• _{[Jan 2022] Defended my master’s thesis on “Inductive Biases in Higher-Order Visual Cognition.”}