Edgar Dobriban of the University of Pennsylvania has received the 2024 Peter Gavin Hall IMS Early Career Prize. Dr. Dobriban receives the award “for deep, fundamental, and wide-ranging contributions to mathematical statistics and statistical machine learning, including high-dimensional asymptotics (ridge regression, PCA), multiple testing, randomization tests, scalable statistical learning via random projections and distributed learning, uncertainty quantification for machine learning (calibration, prediction sets), robustness, fairness, and Covid-19 pooled testing via hypergraph factorization.”

The Peter Gavin Hall IMS Early Career Prize annually recognizes one researcher within the first eight years of completing their doctoral degree. Dr. Dobriban’s outstanding achievements recognize his potential to shape the future of statistics. His dedication and expertise have positioned him as an emerging leader in the field, and his innovative contributions continue to push the boundaries of statistical research.

Read more in the June/July IMS Bulletin.