Subhro Das

About Subhro Das

Subhro Das is a Principal Applied Scientist at Microsoft. His research interests are broadly in the areas of Representation Learning, Generative AI, Foundation Models, Trustworthy Machine Learning, Large Language Models, Reinforcement Learning and ML Optimization methods. His work focuses on long-context understanding, uncertainty quantification and human-centric system design for large language and multimodal models.Previously, he was a Staff Research Scientist / Research Manager at the MIT-IBM AI Lab in IBM Research and a Research Affiliate at MIT. His research papers are published in top machine learning and signal processing venues, including ICML, NeurIPS, ICLR, AISTATS, EACL, TMLR, TSP and ICASSP. He was an IBM Master Inventor and have filed 25+ patents in machine learning.He is an Senior Member, Elected Member of the Machine Learning for Signal Processing (MLSP) Technical Committee and a Senior Area Editor for the Transactions on Signal Processing. He serves as the Regional Director-at-Large and in the Board of Governors of Signal Processing Society. For more information on his research, publications, patents, awards and professional services, see https://subhrodas.github.io.

Experience

1. Principal Applied Scientist

   Microsoft

   Jun 2025 — Present · Cambridge, MA, US

Education

• Indian Institute of Technology, Kharagpur

  Bachelor of Technology (B.Tech.), Electronics & Communication Engineering

  2007 — 2011

• Carnegie Mellon University

  MS & PhD, Electrical and Computer Engineering

  2011 — 2016

Skills

• Vhdl
• Simulations
• Verilog
• Signal Processing
• Mathematica
• Network Science
• Simulink
• Computer Vision
• Algorithms
• Machine Learning
• Matlab
• C
• Git
• Python
• Latex
• Sql
• C++
• Image Processing
• Data Science
• Mapreduce
• Cloud Computing
• R