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.

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.

Karin Strauss is a senior principal research manager at Microsoft (https://www.microsoft.com/en-us/research) and an affiliate full professor at the Department of Computer Science and Engineering (http://www.cs.washington.edu/) at University of Washington (http://www.washington.edu/). Her research lies at the intersection of computer architecture, systems, and biology. Her work includes hardware accelerators for machine learning, emerging memory technologies, and the use of biotechnology to the benefit of the IT industry. Lately, her focus has been on creating an end-to-end system that stores digital data in synthetic DNA, for which she was named one of the 2016 “100 Most Creative People in Business” by Fast Company. Along with Luis Ceze, she has recently received the ACM SIGARCH Maurice Wilkes Award for their work on DNA data storage. The DNA data storage project has also been chosen as “Best of What’s New” by Popular Science in 2016, one of the "Top 10 Emerging Technologies" by the World Economic Forum in 2019, and highlighted by influential publications such as the New York Times, Wall Street Journal, MIT Technology Review, and Scientific American. Karin received her PhD in Computer Science from University of Illinois at Urbana-Champaign in 2007.

Anne Bracy is a Senior Lecturer in Computer Science at Cornell University. Prior to teaching at Cornell, Dr. Bracy was a Principal Lecturer and Coordinator of Undergraduate Research in Computer Science at Washington University in St Louis. She was also a Research Scientist at the Microarchitecture Research Lab at Intel in Santa Clara, California.

Dr Bracy received her PhD from University of Pennsylvania for her work on instruction fusion under the supervision of Amir Roth. Prior to her doctoral studies she was a student at Stanford University, where she was inducted into the Phi Beta Kappa honor society.