Reet Barik

Reet Barik is a Research Fellow at Argonne National Laboratory's Argonne Leadership Computing Facility (ALCF), specializing in scalable data science frameworks for leadership-class supercomputers. His work bridges high-performance computing and scientific application development.

His academic background includes:

• Ph.D. in Computer Science from Washington State University, supervised by Dr. Ananth Kalyanaraman.

Research focuses on distributed systems for influence maximization, parallelization strategies for large language model pretraining, and compute-intensive scientific applications. His methodologies leverage exascale architectures to solve complex problems in machine learning and data-intensive computing.

Barik actively contributes to ALCF's mission of advancing computational science through next-generation tool development and supercomputing innovation.