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DIVISION OF BIOSTATISTICS & BIOINFORMATICS

IN THE HERBERT WERTHEIM SCHOOL OF PUBLIC HEALTH AND HUMAN LONGEVITY SCIENCE

WHAT WE DO

We have expertise in design and analysis of clinical trials, behavioral interventions, cohort studies, and biomarker studies, including such areas as longitudinal models, “big data” and high dimensional analyses, image analysis, and survey statistics

Meet Our People

 Our goal is to pursue excellence in the following areas: 

  • Methodological research in biostatistics and bioinformatics, in particular methods responsive to new quantitative and scientific problems arising from advances in medicine, biology and health care systems

  • Collaborative clinical, biological, and translational research

  • Education in contemporary statistical theory and applications

  • Service to the university and local community

News and Announcements

Biostatistics Student Seminar Series

Co-chaired by Tuo Lin and Anubhav Singh Sachan, the Seminar Series will be an opportunity for Biostatistics Program graduate students to highlight their current research activities. Details about the first seminar coming shortly.

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Faculty Spotlight

Florin Vaida, PhD cited in study demonstrating that an optical tool in smartphones is effective at assessing blood-oxygen levels.

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Postdoctoral Biostatistics Fellowship Open

The fellowship is a 12-month appointment with supervising professor, Steve Edland, PhD.

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EDUCATION & TRAINING IN BIOSTATISTICS

Biostatistics and Bioinformatics offers two graduate degrees: a Master of Science and a PhD. Undergraduate students also have the opportunity to specialize in Biostatistics as a Public Health major.

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Student Spotlight

09/2021

Congratulations to Biostatistics graduate student Yu Zhao for publishing his first paper in a peer-reviewed biostatistics journal.

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08/2021

Biostatistics graduate student Junting Ren has been newly elected to the American Statistical Association San Diego Chapter Treasurer.

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RESEARCH

Our research interests include clinical trials methods, survival analysis, prognostic modeling, longitudinal data analysis, imaging, statistical genetics, semi-parametric and non-parametric statistics, computational statistics, Bayesian statistics, machine learning, and computational biology.

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Seminars

10/06/2021

"Data driven analytical approaches informing the UCSD Return to Learn program"

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11/03/2021

"Design and analysis considerations for an umbrella trial for actute myeloid leukemia"

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EXPLORE

Faculty and students in Biostatistics & Bioinformatics encourage involvement with the American Statistical Association. Visit the This is Statistics webpage for more information on this exciting field!

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