I am a 4th-year PhD candidate in Computer Science and Engineering at the University of California San Diego, advised by Prof. Yatish Turakhia.
My research bridges computer architecture, machine learning systems, and computational biology, with the broader goal of making large-scale genomic analysis fast, scalable, and accessible. I build hardware/software co-designed systems - that go from algorithm design down to RTL and silicon — spanning FPGA-based accelerators for dynamic programming-based sequence alignment to a fully automated, GPU/CPU-parallelized workflow for phylogenomic tree inference. These tools are open-sourced and being used by research groups worldwide, with publications at leading venues (PNAS, HPCA).
I collaborate with the Vertebrate Genomes Project (VGP) consortium, researchers at the Scripps Institution of Oceanography, UCSD, and the AMD Omics Group on accelerating bioinformatics workloads at scale.
Beyond research, I serve the community as a member of the Artifact Evaluation Committee for ISCA 2025 and ISCA 2024, as a reviewer for Bioinformatics (Oxford Academic), and as co-organizer of the BioSys Workshop at ASPLOS 2024.
I received my M.S. in Computer Engineering from UC San Diego and my B.Tech. from IIEST Shibpur, India. Before my PhD, I spent 3+ years as a Digital Design Engineer at Analog Devices. During my PhD, I interned at AMD Research. I was also a DAAD WISE Scholar at the University of Bremen, Germany.