Aaditya K. Ramdas
Tenure-track Assistant Professor
Department of Statistics and Data Science
(affl.) Machine Learning Department
Carnegie Mellon University (CMU)
Keywords: scientific reproducibility, false discovery rate, adaptive data analysis, selective inference, hypothesis testing, online experimentation, interactive learning, convex optimization, multi-armed bandits, sequential analysis, nonparametric inference.
Interests: My research spans theory and algorithms in machine learning and statistical inference, with applications to science and technology. One line of recent work focuses on the theme of reproducibility in science and technology (multiple hypothesis testing, adaptive data analysis, selective inference), by designing new algorithms for controlling false discoveries in novel static and dynamic settings. Another line of work involves active sequential experimentation (interactive learning, multi-armed bandits, martingale concentration, confidence sequences), by designing new algorithms that work in online or streaming data settings. I also work on problems in convex optimization and nonparametric statistics.