Shubhendu Trivedi

About Shubhendu Trivedi

Profile is out of date and Email contact: s••••••••@csail.mit.edu, s•••••••@fnal.gov.PhD in Machine Learning with foundational work on equivariant neural networks and provable uncertainty representation, esp. conformal prediction. Published research in applications in computational chemistry & physics, healthcare, timeseries analysis, LLMs, applied industrial work. Postdoctoral stints at MIT (AI) and Brown University (Mathematics). Six years of applied industrial experience working across a variety of applied domains, from semiconductors to data science consulting (sales/demand forecasting), to product development, including delivering LLM-based products. Served on the boards of and advise(d) multiple startups in healthcare, neuroimaging, and robust ML. Experience with working at federal national labs.Research work has been published as 45+ papers, mostly at venues such as NeurIPS, ICML, ICLR etc. Some of my papers can be found here & hl=en & oi=ao). I have also taught courses in data mining, image and signal processing, and deep learning at the undergraduate and the PhD level. Current research (and applied) interests are in deep learning over structured spaces, group equivariant/invariant/covariant neural networks, deep learning over graphs, causal inference/counterfactual reasoning, low shot recognition, applications of ML in computational chemistry/physics and health, uncertainty quantification and statistical guardrails around LLMs, decentralized LLM architectures, and reliable deployment. My website contains more details, including contact details https://shubhendu-trivedi.org/

Experience

1. Research Scientist

   Google DeepMind

   Jan 2026 — Present

   Part of the foundational research unit (also called the Frontier AI unit); group on foundational research in language.

Education

• University of Pune

  Bachelor of Engineering - BE, Electronics and Telecommunications

• University of Chicago

  Representation Theoretic Methods in Machine Learning

  2013 — 2018

• Worcester Polytechnic Institute

  Machine Learning/Graph Theory

• Massachusetts Institute of Technology

  Post-doctoral, Artificial Intelligence

  2018 — 2020

• Brown University

  Post-doctoral, Mathematics

  2018 — 2019

• KV Southern Command

  High School

• Toyota Technological Institute at Chicago

  Machine Learning and Computer Vision

  2013 — 2018

Skills

• Data Analysis
• Java
• Statistics
• Matlab
• Image Analysis
• Pattern Recognition
• Computer Vision
• Artificial Intelligence
• Algorithms
• Image Processing
• Digital Image Processing
• C++
• Machine Learning
• Research
• Data Mining
• R
• Svm
• Python
• Simulations
• Mathematical Modeling
• Bioinformatics