Devavrat Shah
Professor, Department of Electrical Engineering and Computer Science Director of Statistics and Data Science Center at MIT Professional Education
Schools
- MIT Professional Education
- Great Learning
Expertise
Links
Biography
MIT Professional Education
Devavrat Shah is a professor with the department of electrical engineering and computer science at MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC), and the Director of the newly formed Statistics and Data Center in Institute for Data, Systems, and Society (IDSS). His research focus is on the theory of large complex networks, which includes network algorithms, stochastic networks, network information theory, and large-scale statistical inference. Professor Shah was awarded the first ACM SIGMETRICS Rising Star Award 2008 for his work on network scheduling algorithms. He received the 2010 Erlang Prize from INFORMS, which is given to a young researcher for outstanding contributions to applied probability. He is currently an associate editor of Operations Research. Professor Shah’s research is driven by a desire to engineer a socially-integrated network where a typical user may connect through a smart-phone, socialize through Facebook, learn from Wikipedia, and help bring socio-political change through Twitter. As a network theorist, his contributions towards addressing these challenges involve designing better wireless access networks and processing social data and scalable algorithms that can operate in data center like facility.
Videos
MIT News at Noon: Devavrat Shah on Twitter trends
Data Science & Machine Learning in RETAIL: Devavrat Shah, Director, MIT SDSC. (Podcast Promo)
Learning from Social Data Processing - Processing Data That Involves Humans - 6/6
LIDS@80: Session 4 Introduction — Devavrat Shah (MIT)
Data and Machine Learning: RETAIL. Dr. Devavrat Shah, Director MIT Data Science - Full Episode
Zorro - Get Paid for your Data | Devavrat Shah | MIT 2019
Devavrat Shah - Variations on the theme of synthetic control
WLT 2019: Devavrat Shah - Explaining the Success of Nearest Neighbor Methods in Prediction (Part 1)
Learning from Social Data Processing - Celect Focusing on Retailers - 4/6
Learning from Social Data Processing - Designing Algorithmic Solutions for Different Systems - 2/6
Learning from Social Data Processing - Modeling Decisions in Algebraic Ways - 3/6
Tales of Bayesian Regression - Devavrat Shah, Associate Professor, MIT
Time Series Analysis via Matrix Estimation
Session 3: Professor Devavrat Shah
Talk by Prof Devavrat Shah, EECS, MIT. Title: Synthetic Interventions
Courses Taught
Applied Data Science Program
MIT Professional Education
Online
May 18
Machine Learning: From Data to Decisions
MIT Professional Education
Online
Apr 23
Technology Leadership Program
MIT Professional Education
Online
No Code AI and Machine Learning: Building Data Science Solutions
MIT Professional Education
Online
May 18
Blended Professional Certificate: Chief Technology Officer
MIT Professional Education
Online
AI and ML: Leading Business Growth
MIT Professional Education
Online
Professional Certificate Program in Machine Learning & Artificial Intelligence
MIT Professional Education
Cambridge, Massachusetts, United States
Jun 5
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