I am a PhD student at the University of California, San Diego, majoring in Computer Science and Engineering. My research interests lie in the intersection of Computer Architecture and Computational Genomics. I am a part of Turakhia Lab under the supervision of Professor Yatish Turakhia, where I work on solving computational challenges and developing efficient hardware for genomic data analysis. I completed my undergraduate in Electronics and Telecommunication Engineering from IIEST Shibpur, West Bengal, India.

As a computer science researcher specializing in computational genomics, I am dedicated to advancing the field through the development of optimized hardware+software accelerated tools. My research focuses on devising fully automated and scalable methods to accelerate error-prone phylogenetic estimation techniques. By doing so, I aim to contribute significantly to evolutionary biology studies and help unravel the complexities of the tree of life. In parallel, I am engaged in a fascinating project leveraging an HLS-based framework to accelerate dynamic programming-based algorithms, mainly focusing on sequence alignment algorithms. This project aims to help bioinformaticians customize their algorithms and port on FPGA with less effort, bringing significant advancements in computational genomics research.

I am a PhD candidate in the Department of Computer Science & Engineering at the University of California, Riverside. I work with Distinguished Prof. Laxmi Narayan Bhuyan and Prof.Daniel Wong and am a member of SoCal Lab at UCR. My interest lies in Computer Architecture , GPGPU Architecture design, High Performance Computing, Fault-Tolerance systems. I have worked on multiple projects on Data- Dependent Applications on GPGPU, Low power Design of GPGPU Execution units and have achieved notable improvements in terms of Performance gain and Power and Area saving.

Hai “Helen” Li is currently Clare Boothe Luce Associate Professor of Electrical and Computer Engineering Department at Duke University, USA. She received the B.S. and M.S. degrees from Tsinghua University, China, and the Ph.D. degree from the Department of Electrical and Computer Engineering, Purdue University, USA. Her current research interests include memory design and architecture, neuromorphic architecture for brain-inspired computing systems, and architecture/circuit/device cross-layer optimization for low power and high performance. Dr. Li is a distinguished member of ACM, a distinguished speaker of ACM (2017-2020), and a distinguished lecture of IEEE CAS society (2018-2019).