About Us

Who We Are

Hughes Lab at Massachusetts General Hospital and the Bayes Mendel Lab at DFCI have collaborated to provide this informative and useful website.

Kevin S. Hughes, M.D.
Kevin S. Hughes, M.D.

Dr. Hughes is the Co-Director of the Avon Comprehensive Breast Evaluation Center and Surgical Director of the Breast and Ovarian Cancer Genetics and Risk Assessment Program at Massachusetts General Hospital, an Associate Professor of Surgery at Harvard Medical School, and Medical Director of the Bermuda Cancer Genetics and Risk Assessment Clinic. He is a member of the Department of Surgical Oncology at the Massachusetts General Hospital and a graduate of Dartmouth College and Dartmouth Medical School. He trained at the Mercy Hospital of Pittsburgh for general surgery, followed by a fellowship in surgical oncology at the National Cancer Institute. Dr. Hughes was formerly on the faculty of Tufts University, the University of California, Davis and Brown University. Dr. Hughes is actively involved in research regarding the genetics, screening, diagnosis and treatment of breast cancer and is actively involved in the development of Health Information Technology that improves quality while decreasing clinician workload. He co-authored the HL7, ANSI approved standard for transmitting family health history, and was the Principal Investigator for the Cooperative Group Trial (CALGB 9343) that showed radiation therapy had little benefit in women over age 70 with early breast cancer. Click here for more information

 

Giovanni Parmigiani, Ph.D.
Giovanni Parmigiani, Ph.D.

Dr. Parmigiani is Chair and Professor of the Department of Biostatistics and Computational Biology at the Dana-Farber Cancer Institute, a Professor of Biostatistics in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, and an Associate Director of Population Sciences at the Dana-Farber / Harvard Cancer Center. Dr. Parmigiani is a statistician with a passion for, and a demonstrated commitment to interdisciplinary cancer science, grounded on two decades of collaborative work across a broad spectrum of population, clinical and basic cancer research. His works to develop statistical tools for cancer data, with particular focus on genetic epidemiology and genomics. He leads the development of the BRCAPRO, MM Rpro, MelaPro and PANCpro models, their validation, and their implementation through the Bayes Mendel R package. He has extensive methodological expertise in Bayesian statistics, risk prediction, decision theory, and their application to cancer research. Throughout his activities, his personal goals are a) to increase the rigor end efficiency with which we leverage the vast and complex information generated in today’s cancer research and b) to foster the use of data sciences as a common thread to facilitate interactions between fields and academic cultures. He has a strong mentoring record and remains highly committed to it. Click here for more information.

 

Molly Griffin, B.A.
Molly Griffin, B.A.

Molly Griffin graduated from Harvard College in 2012 with a BA in Organismic and Evolutionary Biology. She is currently conducting research in the Surgical Oncology Department at Massachusetts General Hospital.

Danielle Braun, Ph.D.
Danielle Braun, Ph.D.

Danielle Braun is a post-doctoral research fellow in the Biostatistics Department at the Harvard T.H. Chan School of Public Health and at the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute. Her areas of research include risk prediction, genetic epidemiology, measurement error, survival analysis, frailty models, causal inference, and comparative effectiveness research. As a post-doctoral fellow Danielle works with Dr. Parmigiani in the BayesMendel lab and Dr. Dominici.

Ahmet Acar, M.D.
Ahmet Acar, M.D.

Ahmet Acar graduated from Kocaeli University Medical Faculty in 2013. He is a resident in the Public Health Department at Istanbul Medical Faculty, Istanbul University, and a research fellow in the Surgical Oncology Department at Massachusetts General Hospital.

Grace Sollender, A.B.
Grace Sollender, A.B.

Grace Sollender graduated from Dartmouth College in 2015 with an AB in Biology and Spanish. She is currently pursuing an MD at the Geisel School of Medicine at Dartmouth and is conducting clinical research in surgical oncology with Dr. Hughes.

Jiabei Yang, B.S.
Jiabei Yang, B.S.

Jiabei graduated with Bachelor of Science in the department of Bioinformatics and Biostatistics in Shanghai Jiao Tong University, and is currently a Master of Science candidate in the Biostatistics Department at the Harvard T.H. Chan School of Public Health. She also works in the BayesMendel lab in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute.

Rong Tang, M.D.
Rong Tang, M.D.

Dr. Rong Tang graduated form Medical School of the University of South China, and she completed her surgical resident training at Plastic Surgery Hospital of Peking Union Medical School and Hunan Cancer Hospital of Xiangya Medical School. At 2011, she started conducting clinical research in the Surgical Oncology Department as a postdoctoral research fellow and she is currently a Breast Surgery clinical fellow at Massachusetts General Hospital.

Kinyas Kartal, M.D.
Kinyas Kartal, M.D.

Dr. Kinyas Kartal graduated from Baskent University School of Medicine in 2006. He completed his surgical residency program at Hacettepe University School of Medicine, Department of General Surgery. He has been working at Sisli Hamidiye Etfal Training and Research Hospital as a general surgeon since 2013. He is currently working as a post-doctoral research fellow at Massachusetts General Hospital Division of Surgical Oncology.

Sherwood S. Hughes
Sherwood S. Hughes

Sherwood is the Director of Communications Technology at the Massachusetts General Physicans Organization and a Co-Director of eCare Communications at the Massachusetts General Hospital. He co-developed the first version of Hughes Risk Apps and the Hughes Risk Web service. Sherwood holds a degree from Harvard University.