My research is on holistic and practical trustworthy AI, aimed at proposing novel solutions to technical problems in the reliability, safety, and security of AI, that are motivated by and readily applicable to real-world applications. I have pioneered the use of trustworthy AI methods in multiple companies, wrote a book, and founded multiple nonprofit efforts in this area. My work in the data for good space has driven policy changes in government and nonprofit organizations, such as the UNICEF Office of Innovation and Chicago Department of Public Health. My work has received global recognition through outlets such as MIT Tech Review, Orange UK, the Turing Podcast, and Chicago Tribune.
I received my PhD in Statistics from The University of Minnesota Twin Cities. I hold bachelors and masters degrees in statistics from Indian Statistical Institute, Kolkata.
© Subhabrata Majumdar 2024.