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Thomas Jemielita

Merck & Co., Inc.
Senior Scientist, Biostatistics
Thomas Jemielita is a senior scientist in Early Development Statistics (EDS) within BARDS at Merck & Co., Inc., currently providing statistical support for various early oncology trials. Prior to joining Merck in 2017, Thomas received his PhD in Biostatistics from the University of Pennsylvania. Since joining Merck, he has been involved in research and projects related to PK-PD modeling, benefit cost risk analyses in clinical trials, utilizing real world evidence (RWE) with clinical trial data, and subgroup identification/stratified medicine. His current research interests include machine learning, causal inference, precision medicine / subgroup identification, and RWE.