Scholar
Mark Sellke
Google Scholar ID: lXCP2cMAAAAJ
Assistant Professor of Statistics, Harvard University
Citations & Impact
Citations
1,798
H-index
23
i10-index
32
Publications
20
Co-authors
48
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in journals such as Ann. Probab., Prob. Math. Phys., Comm. Pure. Appl. Math., Duke Math Journal, Journal of the ACM, Mathematische Annalen, and Operations Research. Some papers have received awards, including 'A Universal Law of Robustness via Isoperimetry' which was awarded Outstanding Paper at NeurIPS 2021, and 'Chasing Convex Bodies Optimally' which won Best Paper and Best Student Paper at SODA 2020.
Research Experience
- Assistant Professor of Statistics at Harvard University.
Education
- PhD in Mathematics from Stanford University, advised by Andrea Montanari and Sébastien Bubeck.
Background
- Research interests include probability, mathematical physics, theoretical computer science, and statistics. Particularly fascinated by computational barriers and algorithmic thresholds in random complex systems.
Miscellany
- Contact: msellke [at] fas [dot] harvard [dot] edu
