- Graduate Field Affiliations
- Applied Mathematics
- Data Science (minor)
- Mathematics
- Operations Research and Information Engineering
Biography
Damek Davis received his Ph.D. in mathematics from the University of California, Los Angeles in 2015. In July 2016 he joined Cornell University’s School of Operations Research and Information Engineering as an Assistant Professor.
Research Interests
- Data Science
- Algorithms
- Signal and Image Processing
- Statistics and Machine Learning
- Data Mining
- Optimization
Select Publications
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Stochastic model-based minimization of weakly convex functions. Damek Davis, Dmitriy Drusvyatskiy. SIAM J. Optim., 29(1), pp. 207–239. (33 pages)
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Stochastic subgradient method converges on tame functions. Damek Davis, Dmitriy Drusvyatskiy, Sham Kakade, Jason D. Lee. Foundations of Computational Mathematics, Vol. 20, pp. 119–154 (2020).
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The nonsmooth landscape of phase retrieval. Damek Davis, Dmitriy Drusvyatskiy, Courtney Paquette. IMA Journal of Numerical Analysis (2017).
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Active strict saddles in nonsmooth optimization. Damek Davis, Dmitriy Drusvyatskiy. ArXiv https://arxiv.org/abs/1912.07146.
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Low-rank matrix recovery with composite optimization: good conditioning and rapid convergence. Vasileios Charisopoulos, Yudong Chen, Damek Davis, Mateo Díaz, Lijun Ding, Dmitriy Drusvyatskiy. ArXiv https://arxiv.org/abs/1904.10020.
Select Awards and Honors
- Sloan Research Fellowship in Mathematics 2020
- INFORMS Optimization Society Young Researchers Prize 2019
- Finalist for the Best Paper Prize for Young Researchers in Continuous Optimization 2019
- Finalist for A. W. Tucker Prize for outstanding doctoral thesis 2018
- NSF Math Postdoctoral Fellowship 2015
- Pacific Journal of Mathematics Dissertation Prize 2015
- INFORMS Optimization Society Student Paper Prize 2014
