Debmalya Mandal researches the design of large-scale voting systems that aggregate individual preferences and focuses on verifying and ensuring the fairness of AI systems. Before coming to Columbia, he completed a Ph.D. in computer science at Harvard University under the supervision of David C. Parkes. His thesis focused on designing systems that can help people in different fields improve their ability to make informed data-driven decisions. During his doctoral studies, he worked for the Chief Economist Office at Microsoft Research. Before his Ph.D., he received an M.E. in computer science from the Indian Institute of Science, Bangalore, and a B.E. in computer science from the Indian Institute of Engineering Science and Technology, Shibpur. In his spare time, he likes to read post-colonial literature, play soccer, and play classical guitar.