Subhajit Das

Dr. Subhajit Das combines Machine Learning and Visual Analytics to transform complex data into practical insights. With a Ph.D. in Computer Science from Georgia Institute of Technology, he is an expert in causal inference, helping organizations make better data-driven decisions. Over his decade in the tech industry, Dr. Das has worked with leading companies including Amazon, Microsoft, Bosch, 3M, and Autodesk. His applications of causal reasoning and machine learning have improved user experiences for millions, particularly in e-commerce and 3D computational software.

Furthermore, his research has been published in major conferences including KDD IDEA Workshop, IEEEVis, CHI, ICDM, Sigmaud, and Acadia. Dr. Das develops interactive systems that help experts integrate causal inference and machine learning into their daily work, making complex analysis more accessible and practical. With a Master's in Design Computing from the University of Pennsylvania, Dr. Das brings a unique combination of technical expertise and design thinking to his work. This dual background in computational design and data science allows him to solve problems from multiple angles, leading to innovative solutions in both research and industry applications.