Computer Scientist
Artificial Intelligence & Machine Learning Group
Argonne Leadership Computing Facility (ALCF)
I am a Computer Scientist in the Artificial Intelligence and Machine Learning (AIML) group with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory. Prior, I was a Postdoctoral Research Staff Member at Lawrence Livermore National Laboratory, US.
I obtained my PhD and worked as a Research Associate at the Institute for Computing Systems Architecture at the School of Informatics, University of Edinburgh, UK under the guidance of Prof. Michael O'Boyle.
At ALCF, I co-lead the AI Testbed where we explore the performance and efficiency of novel AI accelerators for scientific machine learning applications. I also served as co-chair for the MLPerf HPC group at MLCommons to benchmark large-scale ML on HPC systems.
My current projects focus on:
Developing performance models to identify and address bottlenecks while scaling ML/DL frameworks on emerging supercomputers for scientific applications; co-design of emerging hardware architectures to scale up machine learning algorithms; and benchmarking ML/DL frameworks and methods on HPC systems.
MLSys'26, SIGKDD'26, AAAI'26, HiPC'25, KDD'25, SC'25, IISWC'25, CCGRID'25, ISC'25, SC'24, CCGRID'24, Bench'23, ISC'23, Bench'22, ICCD'22, IPDPS'22, SC'21 (posters), IPDPS'21, AI4Science@SC'20, ICPP'19, CCGRID'19, PACT'18, CCGRID'18, ICPP'18
Concurrency & Computation, ParCo, ACM TOPC, Elsevier TJOR, ACM TECS, NSF panels