Srinivas Eswar is our 2022 Wilkinson Fellow. He received his Ph.D. from the Georgia Institute of Technology. He works on constrained low-rank approximation algorithms, specifically developing parallel versions of these algorithms, for scalable data analysis. His work was recognized by an NSF INTERN fellowship in 2020. Moreover, he has already coauthored papers in 8 peer-reviewed journals and international conferences, including the ACM Transactions on Mathematical Software in 2021 and the SC supercomputing conference in 2020.

Research Interests

• Machine learning
• Numerical linear algebra
• High-performance computing