Alexa Beiser

Lore & Background

Alexa S. Beiser earned her PhD in mathematics at Boston University, following an MA in Applied Mathematics from the University of California, San Diego, and a BA in Biology and Psychology from the University of California, Santa Cruz. She has worked at the Boston University School of Public Health since 1985, currently serving in the Framingham Heart Study neurology group. Beiser co-developed the biostatistics doctoral program at Boston University.

Reader's Guide

Beiser's research has addressed risk factors for dementia, the effects of stress on memory, and how physical activity can improve health for people with diabetes. She currently leads the Framingham Heart Study neurology group data management team, with a focus on analyzing data relating to dementia. Her selected papers include studies on plasma homocysteine as a risk factor for dementia and Alzheimer's disease, lifetime risk for atrial fibrillation, and residual lifetime risk for hypertension. She also co-authored the textbook 'Introductory Applied Biostatistics'.

Did You Know?

• Beiser co-developed the biostatistics doctoral program at Boston University.
• She currently leads the Framingham Heart Study neurology group data management team.
• Her research includes how stress affects memory and how physical activity can improve health for people with diabetes.
• She co-authored the textbook 'Introductory Applied Biostatistics' with Ralph B. D'Agostino Sr. and Lisa M. Sullivan.

An Interdisciplinary Path to Biostatistics

Alexa S. Beiser's academic trajectory reflects a deliberate weaving together of the life sciences and quantitative disciplines. Her foundational training began at the University of California, Santa Cruz, where she earned a bachelor's degree spanning both biology and psychology—a pairing that would later inform her sensitivity to the human dimensions of health research. She then moved to the University of California, San Diego, completing a master's degree in applied mathematics, a shift that sharpened her analytical toolkit and oriented her thinking toward rigorous statistical problem-solving. The final academic milestone came at Boston University, where she pursued and completed a doctorate in mathematics. This progression—from the organic complexity of living systems to the abstract precision of mathematical reasoning—equipped her with a uniquely hybrid skill set. Rather than remaining purely theoretical, she channeled that quantitative depth into the practical world of public health, positioning herself at the intersection where mathematical rigor meets the urgent questions of human disease and well-being.

A Lifelong Commitment to Boston University and the Framingham Heart Study

Since 1985, Beiser has been a fixture at the Boston University School of Public Health, a tenure that spans nearly four decades of continuous institutional engagement. Her work is anchored in the Framingham Heart Study, one of the longest-running and most influential longitudinal cardiovascular research programs in the world. Within the FHS neurology group, she currently leads the data management team, a role that places her at the operational heart of the study's ongoing investigations into dementia. Beyond her day-to-day research responsibilities, Beiser played a formative role in shaping the next generation of biostatisticians by co-developing the doctoral program in biostatistics at Boston University. This dual commitment—driving cutting-edge data analysis in a landmark epidemiological study while simultaneously building the academic infrastructure that trains future researchers—underscores her identity as both a scientist and an educator. Her sustained presence at a single institution over such an extended period also speaks to the depth of institutional knowledge she has accumulated, a resource that enriches every project she touches.

Research at the Crossroads of Cognition, Stress, and Chronic Disease

Beiser's research portfolio spans several critical questions in public health, with a particular emphasis on the neurological and cardiovascular dimensions of aging. Her work has examined risk factors for dementia, explored how psychological stress influences memory function, and investigated whether regular physical activity can yield measurable health benefits for individuals living with diabetes. Among her most widely cited contributions is a 2002 study published in the New England Journal of Medicine that identified elevated plasma homocysteine levels as a significant risk factor for both dementia and Alzheimer's disease—a finding that resonated broadly across neurology and geriatrics. She also co-authored a 2004 paper in Circulation addressing the lifetime risk of developing atrial fibrillation, and a 2002 study in JAMA that estimated the residual lifetime risk of hypertension among middle-aged men and women. Together, these publications illustrate a researcher who moves fluidly between cognitive decline, cardiac arrhythmia, and metabolic health, always applying rigorous biostatistical methods to questions that carry profound implications for long-term patient care.

Shaping the Next Generation of Biostatisticians

Beyond her original research, Beiser has made a tangible contribution to how biostatistics is taught and how the discipline is structured at the graduate level. As a co-developer of the biostatistics doctoral program at Boston University, she helped design the curriculum and training framework through which new researchers learn to apply quantitative methods to public health problems. Her pedagogical influence extends further through the co-authorship of Introductory Applied Biostatistics, a textbook she wrote alongside Ralph B. D'Agostino Sr. and Lisa M. Sullivan. The book, published under ISBN 9780534423995, serves as an accessible entry point for students encountering applied statistical methods for the first time, bridging the gap between abstract mathematical theory and the messy, real-world data that public health researchers must navigate. By investing in both program development and textbook writing, Beiser has ensured that her methodological expertise reaches well beyond the walls of her own laboratory, shaping how an entire cohort of future scientists approaches the quantitative analysis of human health.