Summary
Akshit Kumar is a postdoctoral researcher with 11 years of experience bridging rigorous theory and practical systems in marketplace design, resource allocation, and recommendation systems. Completing a PhD in Operations Research at Columbia Business School, he has applied stochastic analysis and algorithmic design to real-world problems ranging from fulfillment optimization at Amazon to power-controlled coded access at Nokia Bell Labs. His work blends asymptotic guarantees and competitive analysis with empirical evaluation, informed by internships and research roles at Microsoft Research, TIFR, and University of Michigan. Now based at Yale’s Center for Algorithms, Data, and Market Design, he continues to translate deep theoretical tools into deployable insights for large-scale platforms. An unconventional throughline in his career is consistently leveraging large-deviation and density-evolution techniques across networking, scheduling, and marketplace problems.
11 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology Madras
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at University of Michigan
Doctor of Philosophy - PhD Operations Research, Doctor of Philosophy - PhD Operations Research at Columbia Business School
High School, High School at Delhi Public School - R. K. Puram
English, Hindi