Srinivas Eswar

Srinivas Eswar is a Wilkinson Fellow at Argonne National Laboratory within the Mathematics and Computer Science division, holding the academic rank of Research Fellow. He received his Ph.D. from the Georgia Institute of Technology and specializes in constrained low-rank approximation algorithms with emphasis on parallel implementations for scalable data analysis.

His educational background includes:

• Ph.D. from Georgia Institute of Technology

Dr. Eswar's research integrates machine learning, numerical linear algebra, and high-performance computing to develop efficient parallel algorithms for massive datasets. His work addresses critical challenges in scientific computing where low-rank approximations enable tractable analysis of high-dimensional data, directly supporting advancements in data-intensive fields like computational physics and artificial intelligence.

His scientific recognition includes:

• NSF INTERN fellowship (2020)
• Wilkinson Fellow (2022)