معرفی
Nima Anari is an Assistant Professor of Computer Science at Stanford University, where he works on theoretical computer science with a focus on algorithms, probability, and combinatorics. He is a member of the Theory Group and has been hosted by Amin Saberi during his postdoctoral research.
- Ph.D. in Computer Science from UC Berkeley (2017), advised by Satish Rao
- B.Sc. in Computer Engineering and Mathematics from Sharif University of Technology
His research primarily centers around:
- Sampling algorithms and Markov chains
- High-dimensional expanders
- Geometry of polynomials
- Parallel computing techniques
- Applications to determinantal point processes
His recent publications indicate strong trends in:
- Parallel sampling methods (2024 STOC, COLT)
- High-dimensional mixing time analysis (2023 STOC, FOCS)
- Polynomial-based algorithm design (2021 STOC, 2020 FOCS)
Scientific recognition includes:
- STOC Best Paper Award (2019)
- Google Faculty Research Award
- NSF CAREER Award
- Sloan Research Fellowship
- Michael and Sheila Held Prize
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Nima Anari در سایتهای دیگر
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Nima AnariStanford University · استادیار
Shayan Oveis GharanUniversity of California, Berkeley · استاد
Shayan Oveis GharanUniversity of Washington · استاد
Zongchen ChenGeorgia Institute of Technology · استادیار- TTselil SchrammUniversity of California, San Diego · استادیار
- YYang P. LiuMcGill University · استادیار