Vinay Saji
Mathew

I am a Ph.D. student in the Department of Industrial Engineering at Penn State. My dissertation focuses on algorithms that accelerate protein structure prediction while preserving physical constraints. The work reduces the computational cost of the most expensive steps in these pipelines, so that processes such as drug design and virtual screening become more practical for researchers. This research is conducted in collaboration with the Lai Lab at Cornell University. In parallel, I am part of a DOE Genesis Mission effort on neurosymbolic computing for manufacturing, combining learning-based perception with symbolic, constraint-aware reasoning so AI systems can be faster, more explainable, and usable in real industrial settings. My graduate research has been made possible by generous support from the Epigenomics Facility at Cornell University, the Institute for Computational and Data Sciences at Penn State, and the Department of Energy through the Genesis Mission, with computing support from the NSF (Award #CIS260116). We open-source all of our work here.