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Sneha Goenka is an Assistant Professor in the Department of Electrical Computer Engineering at Princeton University. Her research focuses on the evolution of computing in the context of the slowing of Moore's law and the challenges posed by Dennard scaling. She works on application domain-specific systems that drive innovations in computer systems architecture. As a computer architect, Goenka investigates applications that navigate the hardware-software-algorithm trade-offs essential for system design. Her work emphasizes optimizing key metrics such as latency, throughput, energy efficiency, and area efficiency, tailored specifically to the requirements of varied applications. Goenka's research is particularly significant in genomics, where the growth of data surpasses the advancements in CPU performance gains dictated by Moore's law. The evolution of sequencing technologies has significantly reduced the costs associated with genomic data generation, presenting both unprecedented opportunities and computational challenges. Her research group is committed to addressing critical issues in genomics, enhancing the speed and scalability of data processing pipelines to overcome significant bottlenecks that hinder progress in clinical and evolutionary genomics. She strives to push the boundaries of what's possible in genomics and aims to achieve breakthroughs that advance science and medicine.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.