Scholar
Anish Agarwal
Google Scholar ID: LOTTHUAAAAAJ
Assistant Professor, Columbia University
Citations & Impact
Citations
1,180
H-index
16
i10-index
22
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Best Paper Award, USENIX NSDI, 2023; Best Student Paper Award (Government Statistics, Survey Research Methods, & Social Statistics), American Statistical Association, 2023; ACM Sigmetrics Outstanding Doctoral Dissertation Prize (2nd Place), 2022; INFORMS George B. Dantzig Dissertation Award (Honorable Mention), 2022; Simons-UC Berkeley Postdoctoral Fellowship, 2022; Multiple papers published in top conferences like NeurIPS and NSDI.
Research Experience
- Research scientist at Amazon Core AI; Postdoctoral research fellow at the Simons Institute (UC Berkeley); Worked at Microsoft Research; Served as a technical consultant to TauRx Therapeutics and Uber Technologies; Management consultant at Boston Consulting Group before PhD.
Education
- PhD from MIT EECS, advised by Alberto Abadie, Munther Dahleh, and Devavrat Shah; Undergrad and Master's degrees from Caltech, supervised by Mani Chandy and Adam Wierman.
Background
- Research interests include causal machine learning, reinforcement learning, and high-dimensional statistics. Focuses on data-driven decision-making in engineering and social systems using tools from econometrics and machine learning.
