Summary
Swati Padmanabhan is a tenure-track assistant professor in Industrial and Systems Engineering at the University of Minnesota with 11 years of experience spanning academia and industry. She earned a PhD from the University of Washington and completed a postdoc at MIT, where she developed fast, provably correct algorithms for conic, nonsmooth, and online optimization using first-order, cutting-plane, interior-point, and primal-dual techniques. Her work bridges theoretical computer science and practical ML systems, informed by industry research internships at Google (including contributions to online resource allocation) and engineering roles in DSP and medical device calibration. She brings a rare blend of rigorous algorithmic theory and hands-on product-facing engineering—earlier work even touched rapid malaria diagnostics and pulse oximeter calibration—making her research both foundational and application-aware.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Washington
Prakash Higher Secondary School
Bachelor of Technology Electronics Engineering, Bachelor of Technology Electronics Engineering at National Institute of Technology Surat
University of California, Los Angeles
Gujarati, Tamil, Hindi, English