BMDS’s David Qian awarded the 2016 John W. Strohbehn Medal for Excellence in Biomedical Research

Lebanon, NH

On June 11, David Qian PhD ’16 (Quantitative Biomedical Sciences) was awarded the 2016 John W. Strohbehn Medal for Excellence in Biomedical Research at the Dartmouth College's Graduate Investiture Ceremony. The Strohbehn Award is awarded annually to a graduating Ph.D. candidate who best exemplifies qualities of a scientific scholar--intellectual curiosity, dedication, and commitment to the pursuit of new scientific knowledge and to teaching--as well as a sense of social responsibility to the research community.

David’s research interests are in leveraging big data (individual genomic/transcriptomic profiles) to better infer disease risk and tailor therapies for patients. As part of David's training in Quantitative Biomedical Sciences, he worked with Dr. Chris Amos's group to understand how genetic variations influence disease risk and response to immunotherapy, primarily focusing on characterizing and predicting lung cancer risk using germline variations. David has also applied his research to investigating breast cancer and prostate cancer. A recent collaboration with surgical oncologist Dr. Richard Barth also investigated the somatic variations within resected liver metastases from colorectal cancer patients that allow inference of immunologic response to dendritic cell vaccination, an indicator of favorable prognosis. David currently mentors several other graduate and undergraduate students to help identify genetic factors that are associated with regional brain activities in the context of smoking addiction.

David is an M.D./Ph.D. student and is now completing the remaining two years of medical school at Dartmouth.


About the Department of Biomedical Data Science

The mission of the department of Biomedical Data Science at Geisel School of Medicine is to advance scholarship and education for the quantitative and computational analysis of biomedical and health data and to unite and promote Biomedical Informatics and Biostatistics as essential disciplines for the mentoring and academic development of faculty and the training and education of the next generation of data scientists.