Subhajit Das graduated with a Ph.D. in Computer Science from Georgia Institute of Technology, USA. His research interests include user modelling, interactive machine learning, and interactive model optimizations bringing end-users' expertise in the modelling pipeline. Over the years, he has extensively worked with domain experts to build interactive AI applications to broaden access to ML and data science. His work with Visual Analytics Lab at Georgia Tech, and with DARPA's explainable AI initiative explores, "ML model selection, interactive optimization, and model interpretability for data exploration and decision making." He has previously developed interactive AI applications with industry partners including Autodesk, BOSCH, GTRI, UPS, 3M, and Microsoft based on extensive user research...
Experienced with user data collection, utilising methods such as contextual inquiry, usability testing, heuristic evaluation, interviews, longitudinal design studies, and crowdsourced surveys.