Scholar
Devavrat Shah
Google Scholar ID: 3qPiYJoAAAAJ
Massachusetts Institute of Technology
Citations & Impact
Citations
7,654
H-index
39
i10-index
118
Publications
20
Co-authors
48
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Led numerous research projects, including:
- - Luck versus Skill in Fantasy Sports
- - Time Series Analysis using Matrix Estimation
- - Crowd-Sourcing meets Matrix Estimation
- - Applications of Nearest Neighbors in Twitter, Bitcoin, Medical Imaging, etc.
- - Robust Synthetic Control
- - Sparse Matrix Estimation and Iterative Collaborative Filtering
- - Data Center Scheduling: Theory and Practice (e.g., Fastpass, Flowtunes)
- - Blind Regression and Collaborative Filtering
- - Graphical Model Learning, Recommendation Systems, Rumor Source Detection, Ranking and Permutation Modeling
- - Crowd-Sourcing algorithms, Discrete Choice from Limited Data, Gossip Algorithms, Belief Propagation and Inference
- - Wireless Medium Access, Distributed Scheduling, Network Information Theory, Switch Scheduling
Research Experience
- Andrew (1956) and Erna Viterbi Professor, Department of EECS, Massachusetts Institute of Technology (MIT)
- Member of MIT’s Institute for Data, Systems and Society (IDSS), Laboratory for Information and Decision Systems (LIDS), and Statistics and Data Science Center
- Principal Investigator, MIT Institute for Foundations of Data Science
- Adjunct Professor at Tata Institute of Fundamental Research (2018–2024)
- Distinguished Professor, Mehta School of Data Science and AI, IIT Guwahati
- Co-founder of Ikigai Labs
