B-102, Faculty Block B
Bannerghatta Road
Bengaluru, KA 560076, India.
The driving question behind my research is: how can we build AI systems that are trustworthy by design? I approach this problem from two complementary directions: (i) establishing the theoretical foundations for AI security and alignment, and (ii) designing better sociotechnical processes for building and deploying AI systems in practice.
In the past, I have pioneered the use of trustworthy AI methods in multiple companies, written a book, and founded multiple nonprofit efforts in this area. My research 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 media outlets such as MIT Tech Review, Orange UK, the Turing Podcast, and Chicago Tribune. I am a recipient of the Early Career Award in Statistics and Data Sciences from the International Indian Statistical Association.
I received my PhD in Statistics from The University of Minnesota Twin Cities, and hold bachelors and masters degrees in Statistics from Indian Statistical Institute, Kolkata.
Please see my CV for more details on my work.
© Subhabrata Majumdar 2026.