Summary
Rishabh Kumar is a mathematically trained research associate with nine years of professional experience bridging academic research and industry, currently applying differential geometry, numerical linear algebra, and machine learning to brain–computer imaging at Nanyang Technological University. He holds a 4.0 MS in Statistics from the University of Alberta and an integrated BSc/MSc in Mathematics and Computing from IIT Kharagpur, and has solved industrial research problems as a MITACS Accelerate Fellow building topological and distributional neural networks. His work ranges from stochastic calculus and maximal Markovian couplings on graphs to fair exam generation, reflecting a knack for translating deep theoretical tools into efficient algorithms and practical solutions. Comfortable in both academia and industry, he is particularly interested in statistics for finance and modeling weather/climate dynamics—areas he explored during his master’s research. Notably, he combines rigorous mathematical breadth with hands-on implementation skills, and brings a collaborative, non-zero-sum mindset to research and open problem solving.
9 years of coding experience
Master of Science - MS, Statistics, 4.0/4.0, Master of Science - MS, Statistics, 4.0/4.0 at University of Alberta
Delhi Public School, Bhilai
B.Sc (Hons) + M.Sc, Mathematics and Computing, 8.82/10, B.Sc (Hons) + M.Sc, Mathematics and Computing, 8.82/10 at Indian Institute of Technology, Kharagpur