Bikram has a Ph.D. in Operations Research. He analyses rare and extreme events using tools from applied probability,  optimization, and, statistical learning. The application domain for his research spans insurance, finance, telecommunication, distributed/federated learning, congestion and queuing, and social and economic networks.  He was a post-doctoral researcher at the RiskLab at ETH Zurich before joining SUTD and held visiting positions at MIT and Karlsruhe Institute of Technology. He teaches undergraduate courses in Probability, Statistics, Simulation, and Analytics, and graduate courses in Statistical Learning and Stochastic Modeling. Bikram is also the Academic Program Director for the Master of Science in Technology and Design (Data Science).