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.
SIGMETRICS'27, MICRO'26, ICPP'26, SC'26, ISC'26, 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