Shantanu T. Chakraborty is a postdoctoral associate at the Institute for Data, Systems, and Society (IDSS) and the Laboratory for Information and Decision Systems (LIDS). His research focuses on macro-scale modeling of integrated energy systems through the lens of Modern Optimization, Machine Learning, and Risk Analysis to address the complexity of the energy transition. A former Marie Skłodowska-Curie Early-Stage Researcher, Shantanu earned his Ph.D. in Engineering and Economics of Power Systems from the Delft University of Technology (The Netherlands). During his doctoral term, he also undertook research visits at the Politechnico di Torino (Italy) and EnergyVille (Belgium). Shantanu holds a M.Sc. in Energy Science, Technology, and Policy with a specialization in Power Systems Engineering from Carnegie Mellon University. Beyond academia, Shantanu accrued industrial experience across the energy supply chain. At Bloom Energy, he honed his skills in predictive maintenance of Solid Oxide Fuel Cells as an Advanced Process Control Engineer. As an Energy Data Scientist at Tendril Networks, he leveraged advanced statistical analysis to devise tailored energy efficiency recommendations to utility customers in the US and Japan. In his capacity as a Managing Consultant at Guidehouse Consulting, he led the organization’s Hydrogen Research Service, and was instrumental in supporting key initiatives including the European Hydrogen Backbone.
Contact: shan2312 at mit dot edu