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Swati Biswas

Swati Biswas

Professor of Statistics - Mathematical Sciences
Associate Department Head
FO 3.704K
Personal webpage

Professional Preparation

Ph.D. - Biostatistics
Ohio State University - 2003
M.Sc. - Statistics
University of Delhi - 1996
B.Sc. - Statistics
University of Delhi - 1994


Young Researcher Award - International Indian Statistical Association [2016]
President’s Award for Educational Excellence - University of North Texas Health Science Center [2011]
AACR Cancer Biostatistics Early Career Travel Award - [2009]


Associate Head
Department of Mathematical Sciences, UT Dallas [2021–Present]
Department of Mathematical Sciences, UT Dallas [2018–Present]
Associate Professor
Department of Mathematical Sciences, UT Dallas [2014–2018]
Assistant Professor
Department of Mathematical Sciences, UT Dallas [2012–2014]
Assistant Professor
Department of Biostatistics, University of North Texas Health Science Center (UNTHSC) [2005–2012]
Postdoctoral Researcher
Department of Biostatistics & Applied Mathematics, University of Texas - MD Anderson Cancer Center [2004–2005]
Teaching Associate/Research Associate/Consultant
Department of Statistics, The Ohio State University [1998–2003]
Research Assistant
Institute of Economic Growth, Delhi, India [1996–1998]
Adjunct Faculty
Department of Biostatistics and Epidemiology, UNTHSC [2012–2018]

News Articles

A new tool from UT Dallas addresses racial disparities in breast cancer patients
UTD Researchers Address Racial Disparity in Breast Cancer Risk Assessment
Professor Helps Advance Health Science Using Biostatistics
By applying statistics to genetics, Dr. Swati Biswas is aiding efforts to analyze the human genetic code for clues to fighting disease.

“In the past few years, there has been explosive growth in the amount and complexity of genetic data scientists can gather, and many challenging questions are emerging,” said Biswas, a biostatistician who recently joined the UT Dallas faculty as an assistant professor of mathematical sciences.

The human genome, or DNA, contains about 20,000 or more genes that play a role in determining everything from hair color to cancer risk. Each gene varies from person to person, and some very rare variations are of particular interest to geneticists and biologists. Identifying rare variants may hold the key to understanding what causes many common diseases, which in turn could provide clues to how to prevent or treat them.
Statistical Model Helps Predict Risk for Second Breast Cancer in Patients
Statisticians at The University of Texas at Dallas have developed an online tool to help breast cancer patients assess their risk of getting a second breast cancer, providing additional guidance for patients and their doctors in the timely management of the disease.

Dr. Swati Biswas, associate professor of statistics in the Department of Mathematical Sciences, has spent a major part of her career working on statistical models that shed light on who is most at risk for developing breast cancer.


American Statistical Association
International Indian Statistical Association
Caucus for Women in Statistics