Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Department of Statistics and Data Science and the Machine Learning Department. He was one of the inaugural inductees of the COPSS Leadership Academy, and a recipient of the Bernoulli New Researcher Award, and an NSF CAREER award. Aaditya's main theoretical and methodological research interests include game-theoretic statistics, selective and simultaneous inference (interactive, structured, post-hoc control of false decision rates, etc), sequential uncertainty quantification (confidence sequences, always-valid p-values, bias in bandits, etc), and distribution-free black-box predictive inference (conformal prediction, calibration, etc). His areas of applied interest include neuroscience, genetics and voting and his group's work has received multiple best paper awards.