General Chair
Aaditya Ramdas
Carnegie Mellon University
Aaditya Ramdas (PhD, 2015) is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and predictive uncertainty quantification (conformal prediction, calibration). His applied areas of interest include neuroscience, genetics and auditing (real-estate, finance, elections). Aaditya received the IMS Peter Gavin Hall Early Career Prize, the COPSS Emerging Leader Award, the Bernoulli New Researcher Award, the NSF CAREER Award, the Sloan fellowship in Mathematics, and faculty research awards from Adobe and Google. He also spends 20% of his time at Amazon working on causality and sequential experimentation.
Aaditya Ramdas (PhD, 2015) is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and predictive uncertainty quantification (conformal prediction, calibration). His applied areas of interest include neuroscience, genetics and auditing (real-estate, finance, elections). Aaditya received the IMS Peter Gavin Hall Early Career Prize, the COPSS Emerging Leader Award, the Bernoulli New Researcher Award, the NSF CAREER Award, the Sloan fellowship in Mathematics, and faculty research awards from Adobe and Google. He also spends 20% of his time at Amazon working on causality and sequential experimentation.
General Chair
Arno Solin
Aalto University
Arno Solin is an Associate Professor with tenure in Machine Learning at Aalto University and an Academy of Finland Research Fellow. His research focuses on probabilistic machine learning, scalable inference, uncertainty quantification, robustness, and Gaussian processes, with applications in signal processing, sensor fusion, and spatial AI. He is also an ELLIS Scholar, a member of Young Academy Finland, and leads a machine learning research group affiliated with Aalto University, FCAI, and ELLIS Institute Finland. His work has received multiple awards and has contributed to both academic research and industrial applications, including the spin-off company Spectacular AI.
Arno Solin is an Associate Professor with tenure in Machine Learning at Aalto University and an Academy of Finland Research Fellow. His research focuses on probabilistic machine learning, scalable inference, uncertainty quantification, robustness, and Gaussian processes, with applications in signal processing, sensor fusion, and spatial AI. He is also an ELLIS Scholar, a member of Young Academy Finland, and leads a machine learning research group affiliated with Aalto University, FCAI, and ELLIS Institute Finland. His work has received multiple awards and has contributed to both academic research and industrial applications, including the spin-off company Spectacular AI.
