My research interests are at a cross-section of designing novel Deep Learning (DL)/Machine Learning (ML) algorithms that scale-up (on a compute node) and scale-out (on clusters/supercomputers) (Arxiv'18, TACO'18, EuroMPI/USA'17, BigData'16, HiPC'16, Arxiv'16). I am also interested in applying DL/ML approaches to problems in HPC (HPDC'19, HPDC'18, iWAPT'18, IPDPS'16), CFD (PACT'21, ICS'20), Chemistry (KDD'18, WACV'18, JCC'17), and question routing (ECML-PKDD'18).

Previously, I have been involved in designing scalable programming models and communication subsystems A by-product of our research in PGAS programming models ( Global Arrays ) is Communication Runtime for Extreme Scale (ComEx). ComEx is released with Global Arrays. During PhD, I was heavily involved in designing MPI runtimes with InfiniBand and other interconnects.