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Welcome from Chair

Welcome to the Department of Biostatistics

Increasingly biomedical research is becoming quantitative and inter-disciplinary. Biostatisticians are scientists involved in almost every aspect of biomedical research such as, formulating scientific hypotheses, designing scientifically valid and efficient studies, developing suitable methodologies and algorithms to analyze and process data, interpreting results and writing manuscripts.  Thus, we are equal partners with a critical role in various aspects of a scientific investigation.

Our department, founded in 1949 as one of the original departments of the Graduate School of Public Health at the University of Pittsburgh, has broad inter-disciplinary research and training programs with applications to biomedical sciences. We offer MS and PhD programs in biostatistics. Students receive a well-rounded academic experience not only in biostatistics & computational biology methods but also in real world applications of these methods. We currently have 23 primary faculty and 20 faculty from other departments with secondary appointments.

As you will notice from our faculty webpages, we conduct cutting-edge methodological and collaborative research on a wide range of topics stemming from real world applications in biomedical sciences. A sample of areas of research interests and expertise in our department include, clinical trials, computational biology, analysis of various omics data (e.g. gene expression, methylation, microbiome, proteomics), analysis of longitudinal data (with missing values), constrained inference, dynamic treatment regimes, environmental health, machine learning, Bayesian methods, mobile data, neuroimaging, personalized medicine, receiver operating characteristics (ROC), stochastic modeling, time series, survival (or time to event) analysis. With the increased scientific interest in mining large data sets, our faculty are also interested in various aspects of modern computational statistics and data science, such as integration and analyses of large complex data (“big data”). We publish in top tier statistics and subject matter journals. Some of our faculty are fellows of the American Statistical Association and elected members of the International Statistical Institute.   

We collaborate extensively with biomedical researchers in various departments and schools within the University of Pittsburgh, such as the Graduate School of Public Health, Schools of Dental Medicine, Information Sciences, Medicine, Nursing, and various departments in the School of Arts and Sciences such as Statistics, Computational and Systems Biology, Computer Science, and Pittsburgh Children’s Hospital. Many of our faculty are also sought after for collaborations and advice by researchers in other national and international institutes and universities. 

Our faculty members play leadership roles in major research centers/institutes such as University of Pittsburgh Cancer Center (UPCI) Biostatistics Facility, Western Psychiatric Institute and Clinic (WPIC) Biostatistics Facility, Epidemiology Data Center, Critical Care Medicine Data Management Core, NRG Oncology Statistics and Data Management Center (previously National Surgical Adjuvant Breast and Bowel Projects (NSABP) Biostatistical Center), Center for Occupational Biostatistics and Epidemiology (COBE), Cystic Fibrosis Center, and Clinical and Translational Science Institute (CTSI).

We have been very successful in placing our graduates in industry, government and academia.  Our MS graduates typically find employment in government, pharmaceuticals and other industries, and in academic and non-profit research organizations. Many of our PhDs are enjoying successful research careers as faculty in major universities, while others have lucrative positions in government, pharmaceuticals, and other private organizations.

Thank you for your interest in our department! We are delighted that you visited our webpages. Please feel free to contact us if you want to know more about our department. We look forward to meeting with you in the near future.

Shyamal Peddada, Chair 


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