Ph.D., Stanford University, 2024
M.Tech., Indian Institute of Technology, Bombay, 2017
B.Tech., Indian Institute of Technology, Bombay, 2017
Assistant Professor of Electrical and Computer Engineering (starting January 2025)
The evolution of computing has taken a pivotal turn with the death of Dennard scaling and the slowing of Moore’s law. Application and domain-specific systems have become the primary drivers of innovations in computer systems architecture. As a computer architect, I delve into these applications, navigating hardware-software-algorithm trade-offs to design systems. These systems optimize key metrics such as latency, throughput, energy efficiency, area efficiency, and user experience, tailored specifically to the requirements of each application.
These optimizations are crucial in genomics, a domain where growth in data far outpaces the advancements dictated by Moore's law and conventional CPU performance gains. The evolution of sequencing technologies has dramatically reduced the cost and increased the accessibility of genomic data, presenting both unprecedented opportunities and significant computational challenges. These challenges include major bottlenecks in data processing pipelines that hinder progress in clinical and evolutionary genomics.
My research group is dedicated to tackling the pivotal challenges in genomics by enhancing the speed, scalability, and sensitivity of the analysis pipelines. Most recently, we designed systems that set new speed records for diagnosing genetic diseases and developed novel methods for more sensitive and faster genome comparisons across species. We achieve these improvements by adopting a comprehensive full-stack approach that encompasses everything from algorithms and programming languages to systems architecture, high-performance computing, distributed systems, and microarchitecture design.
We aim to continue pushing the boundaries of what is possible in genomics, striving for breakthroughs that will advance both science and medicine. Whether you are an undergraduate or graduate student, and whether you're just curious or deeply passionate about these challenges, I encourage you to reach out and explore these opportunities with us.
- The Landscape of Clinical Whole Genome Sequencing and the Emergence of Rapid Genetic Diagnosis in Critical Care. John E. Gorzynski, Sneha Goenka, Euan A. Ashley and Miten Jain. Advances in Molecular Pathology, 2023.
- Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing. Sneha D. Goenka, John E. Gorzynski, Kishwar Shafin, et al. Nature Biotechnology, 2022.
- Ultrarapid nanopore genome sequencing in a critical care setting. John E. Gorzynski, Sneha D. Goenka, et al. New England Journal of Medicine (NEJM), 2022.
- SegAlign: A scalable GPU-based whole genome aligner. Sneha D. Goenka*, Yatish Turakhia*, Benedict Paten and Mark Horowitz. IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020.
- Darwin-WGA: A co-processor provides increased sensitivity in whole genome alignments with high speedup. Yatish Turakhia*, Sneha D. Goenka*, Gill Bejerano and William J. Dally. IEEE International Symposium on High Performance Computer Architecture (HPCA), 2019.
Honors and awards:
- Stanford University Centennial TA Award, 2024
- ACM Heidelberg Laureate Forum Young Researcher, 2024
- Forbes 30 Under 30 Honoree (Science), 2023
- NVIDIA Graduate Fellow, 2022
- Cadence Women in Technology Scholar, 2021