Scholar
Adam Block
Google Scholar ID: yWzWF2MAAAAJ
Columbia University
Citations & Impact
Citations
539
H-index
14
i10-index
16
Publications
20
Co-authors
32
list available
Publications
Resume (English only)
Academic Achievements
- Supported by an NSF Graduate Research Fellowship.
Research Experience
- Postdoc at Microsoft Research NYC. In the summer of 2023, he worked with Dylan Foster, Akshay Krishnamurthy, and Cyril Zhang at Microsoft Research New York. In the summer of 2021, he worked with Rahul Kidambi at Amazon Science.
Education
- PhD in Mathematics from MIT, advised by Alexander (Sasha) Rakhlin; had affiliations with the Laboratory for Information & Decision Systems and the Statistics and Data Science Center. Before starting graduate school, he studied mathematics at Columbia University and worked with Daniel Litt.
Background
- Assistant Professor in the Department of Computer Science at Columbia University. His research interests are in machine learning, working to bridge theory and practice by designing algorithms with provable guarantees, particularly in interactive settings where data may have complicated dependence structures.
