Rachel Karchin promoted to full professor of Biomedical Engineering
The Institute for Computational Medicine is pleased to announce that Dr. Rachel Karchin, William R. Brody Faculty Scholar, has been promoted by the Johns Hopkins University to full professor of Biomedical Engineering effective July 1, 2018. Dr. Karchin holds appointments with the Institute for Computational Medicine, the Department of Biomedical Engineering, and the Department of Computer Science in the Whiting School of Engineering, and with the Department of Oncology and Institute of Genetic Medicine in the School of Medicine. She is a computational biologist who develops algorithms and software to analyze genomic, transcriptomic and proteomic data and interpret its impact on disease. She has published over 100 papers, most recently focusing on the effects of germline and somatic alterations and their contribution to progression models of tumor evolution and immune response.
In 2016, Dr. Karchin received a five-year $2.5M award from the National Cancer Institute to support development of informatics tools for high-throughput analysis of cancer mutations. Her research on the evolution of pancreas cancer precursor lesions is supported by the Sol Goldman Pancreatic Cancer Research Center. In 2017, she was inducted into the College of Fellows of the American Institute for Medical and Biological Engineering for her contributions to translational computational biology.
In addition to her funding from the National Cancer Institute, Dr. Karchin has received funding from the National Institute of Mental Health, the Susan G. Komen Foundation, and the Cystic Fibrosis Foundation. She enjoys many productive collaborations with research faculty in the School of Medicine’s Department of Oncology and elsewhere within Johns Hopkins.
Dr. Raimond Winslow, Director of the Institute for Computational Medicine, extends his congratulations to Dr. Karchin, adding, “She has had an extraordinarily successful career here at Hopkins. Dr. Karchin is now a world-recognized leader in bioinformatics and computational medicine, particularly in studies of cancer.”
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