Associate Professor · Machine Learning · Computational Neuroscience
I study how the brain processes information and use those insights to build better machine learning systems. My lab at MIT focuses on the intersection of computational neuroscience and deep learning, developing brain-inspired architectures that are more efficient, interpretable, and robust than traditional approaches. Our work has been published in Nature, NeurIPS, and ICML.
MIT CSAIL · Cambridge, MA
DeepMind · London, UK
Stanford University
2013 — 2018
Thesis: Learning algorithms inspired by cortical computation. Advisor: Prof. Surya Ganguli.
IIT Bombay
2009 — 2013
President's Gold Medal (highest GPA in graduating class).
National Science Foundation
· 2023$500K grant for research on brain-inspired efficient AI
MIT Technology Review
· 2022Recognized for contributions to neuro-inspired computing
NeurIPS
· 2021For work on biologically plausible learning algorithms
Open to research collaborations, speaking engagements, and academic opportunities.
p.sharma@example.edu
Location
Cambridge, MA