معرفی
Dr. Adin-Cristian Andrei is a Professor in the Department of Biostatistics and Informatics at Northwestern University Feinberg School of Medicine. He maintains strong affiliations with the Center for Diabetes and Metabolism, Institute for Augmented Intelligence in Medicine, and the Northwestern University Clinical and Translational Sciences Institute (NUCATS).
Dr. Andrei's educational background includes:
- BS from University of Bucharest (1998)
- MS from Michigan State University (2000)
- PhD from University of Michigan (2005)
As a biostatistician and data scientist, Dr. Andrei specializes in applying machine learning and computationally-intensive methods to large-scale medical research. His methodological expertise encompasses propensity score-based causal inference, nonparametric survival analysis, recurrent event modeling, health-related quality-of-life assessments, and hierarchical Bayesian approaches to multiple testing problems. His work bridges statistical theory with practical clinical applications across diverse medical specialties.
His recent publications demonstrate strong interdisciplinary collaboration, particularly in cardiology, oncology, and critical care medicine, with emphasis on developing sophisticated analytical approaches to complex clinical questions using real-world health data.
Dr. Andrei has received multiple teaching honors including:
- IPHAM PPH Teacher of the Year Award Finalist (2020)
- IPHAM PPH Teaching Excellence Award (2019)
- Top Performance Award from the Journal of Thoracic and Cardiovascular Surgery editorial board (2017)
He serves in significant editorial roles including Associate Statistical Editor for the Journal of Respiratory and Critical Care Medicine and Statistician for the Journal of the American College of Surgeons. Dr. Andrei previously chaired the 2019 Joint Statistical Meetings and represents the Statistical Learning and Data Science section on the American Statistical Association Council of Sections.
His professional memberships span both statistical and computing disciplines, including the International Society for Clinical Biostatistics, Association for Computing Machinery, and American Statistical Association, reflecting his interdisciplinary approach to medical data science.
