Vinay Saji
Mathew

Hello! I am a Ph.D. student in the Industrial Engineering Department at Penn State. While my training is mostly in the "how" of optimization and machine learning, my current research is driven by the "where". Specifically, I work on algorithms to accelerate protein structure prediction. By compressing the heavy computational steps these generative models usually require, the goal is to make processes like drug design and virtual screening more practical for researchers. My work is a collaborative effort between the LISA Lab and the Lai Lab at Cornell. It is generously funded by the Epigenomics Facility at Cornell University and the Institute for Computational and Data Sciences at Penn State, with computing support from the NSF (Award #CIS260116). We open-source all of our work here.

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Vinay Saji Mathew

Education

The Pennsylvania State University

  • Doctor of Philosophy, Industrial Engineering & Operations Research;
    Advised by Prof. Soundar Kumara

    Master of Science, Industrial Engineering & Operations Research; GPA 4.0/4.0
    Advised by Prof. Soundar Kumara & Prof. Peter Butler

  • Graduate Coursework: Analytics, Deep Learning, Convex Optimization, Network Science, Causal Inference, Linear Programming, Applied Stoch. Processes, Stochastic Modeling, Linear Algebra, Graph Theory.

Date: 2022 - 2027 (Expected)

College of Engineering Trivandrum

  • Bachelor of Technology, Industrial Engineering
    Advised by Prof. Mahesh S.

  • Coursework: Operations Research, System Simulation, Operations Management, Heuristic Solution Techniques, Differential Equations, Scheduling

Date: 2016 - 2020