I'm a PhD Candidate within Stony Brook's department of Computer Science, with an interest in the security implications of emerging medical technologies. I'm a member of the Ethos Lab, led by Professor Amir Rahmati, and my research focus spans security, formal verification, reinforcement learning, and cyber-physical systems.
Prior to joining Stony Brook, I obtained my BSE and MSE in Bioengineering from the University of Pennsylvania and worked as a data scientist for the tech consulting company Tessella Inc on a variety of exploratory analytics projects. I also helped found Shock Analytics LLC, a startup aimed at developing a non-invasive technology to better detect cardiovascular failure.
During my PhD, I've additionally gained experience evaluating the robustness of complex control systems at AFRL, training large self-supervised vision models at General Motors, and security testing of medical devices at Harbor Labs.
Publications
Krish V, Paoletti N, Smolka SA, Rahmati, A. Synthesizing Pareto-Optimal Stealthy and Effective Signal-Injection Attacks on ICDs. IEEE Access. 2022
Vaishnavi P, Krish V, Ahmed F, Eykholt K, Rahmati A. On the Feasibility of Compressing Certifiably Robust Neural Networks. Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS. 2022
Azarion AA, Wu J, Davis KA, Pearce A, Krish VT, Wagenaar J, Chen W, Zheng Y, Wang H, Lucas TH, Litt B, Gee JC. An open-source automated platform for three-dimensional visualization of subdural electrodes using CT-MRI coregistration. Epilepsia. Dec 2014
Leadership and Awards
2023 John Marburger III Fellowship (awarded to one women PhD student in STEM disciplines at Stony Brook)
President of WPhD, an affinity group for women PhD students in Computer Science at Stony Brook
Graduate Coursework
Teaching Assistantships