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Marino, Mukherjee, Pollard, and Quackenbush Elected Members of National Academy of Medicine

1 December 2022 No Comment

Miguel Marino, Bhramar Mukherjee, Katherine Pollard, and John Quackenbush were recently elected to the National Academy of Medicine. The October 17 announcement states, “Election to the Academy is considered one of the highest honors in the fields of health and medicine and recognizes individuals who have demonstrated outstanding professional achievement and commitment to service.”

Their citations read as follows:
Miguel Marino, associate professor, departments of family medicine and biostatistics, Oregon Health and Science University
For being a world leader in primary care biostatistics. As co-founder of the Primary Care Latino Equity Research lab, he pioneers novel quantitative approaches to study racial/ethnic subpopulations in electronic health record (EHR) data. His pioneering methods to use EHR data for health equity research have revolutionized this field.

Bhramar Mukherjee, John D. Kalbfleisch Collegiate Professor and chair, department of biostatistics, and professor, department of epidemiology, University of Michigan School of Public Health
For seminal contributions to statistical methods in public health and biomedical sciences; pioneering methods for the integration of genes, environment, and disease phenotypes across health conditions; analysis of the COVID-19 epidemic that have informed policy in India; exemplary leadership; and nationally recognized initiatives to diversify the data and statistical science workforce.

Katherine S. Pollard, director, Gladstone Institute of Data Science and Biotechnology; professor, University of California at San Francisco; and investigator, Chan Zuckerberg Biohub
For discovering human accelerated regions and demonstrating that these fast-evolving developmental enhancers regulate psychiatric disease genes uniquely in humans. Her open-source software for gene expression, comparative genomics, and microbiomes are used worldwide.

John Quackenbush, Henry Pickering Walcott Professor of Computational Biology and Bioinformatics and chair, department of biostatistics, Harvard T.H. Chan School of Public Health
For being a pioneer in computational and systems biology and reproducible research with a record of continuous innovation. His recent work bridges the gap between genetics and gene regulation, giving unprecedented insight into human health and disease, including how a person’s sex influences disease risk and response to therapy.

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