Alexa S. Beiser, PhD

Professor, Boston University School of Public Health

Biography

Alexa Beiser has been on the faculty at Boston University School of Public Health since 1985, engaged in teaching and collaborative public health research; she co-developed the doctoral program in biostatistics; co-directed the biostatistics program from 2000-2004, and served as Associate Chair for Education from 2015-2018. She formerly taught and coordinated the sections of Introduction to Statistical Computing. For more than twenty-five years, Dr. Beiser has served as the lead biostatistician for the Framingham Heart Study (FHS) neurology group, examining risk factors and prevalence and incidence of clinical and sub-clinical neurological outcomes including MRI and PET measures of brain structure, cognitive performance, dementia, Alzheimer’s disease, stroke, Parkinson’s disease, and epilepsy. Dr. Beiser currently leads the FHS neurology group data management team, responsible for surveillance and tracking of incident dementia, for supervision of recruitment of participants for various grant-funded studies, and for management of data collected at FHS as well as those measured or processed at other institutions (e.g., brain MRI or PET scans); and the FHS neurology group biostatistics team of six biostatisticians. Decades of examining risk factors for neurological diseases has naturally led to studying factors associated with accelerated brain aging. Dr. Beiser has coauthored FHS publications relating risk factors including midlife vascular factors, plasma homocysteine, plasma leptin levels, cardiac index, red blood cell omega-3 fatty acids, metabolic dysregulation, visceral fat, air pollution; serum brain-derived neurotrophic factor; and insulin-like growth factor 1, to measures of brain aging. Dr. Beiser also has made use of the richness of the multigenerational Framingham data to relate documented parental dementia and stroke to offspring stroke, cognitive performance, and MRI measures of brain structure. In investigations of clinical neurological endpoints, she has applied competing risk analyses and has also been able to investigate temporal trends in prevalent and incident neurological disease due to the availability of event surveillance over many decades. In all these studies, Dr. Beiser plays a key role in project conceptualization, is responsible for supervision of statistical data management, analysis, and interpretation of results, and contributes to manuscript preparation and critical review.

Publications

  • Published 4/24/2026

    Ekenze O, Scott M, Himali D, Lioutas VA, Seshadri S, Howard VJ, Fornage M, Aparicio HJ, Beiser AS, Romero JR. Sex-specific trends in incident stroke: The Framingham Heart Study. medRxiv. 2026 Apr 24. PMID: 42078382.

    Read at: PubMed

  • Published 4/23/2026

    Peloso GM, Wang D, Abbruzzese SM, Bis JC, Choi SH, Beiser A, Bressler J, Dupuis J, Fohner AE, Ghanbari M, Gibbs RA, Heard-Costa N, Ikram MA, Lacaze P, Le Grand Q, Lopez OL, Mosley TH, Riaz M, Soumaré A, Yaqub A, Boerwinkle E, Psaty BM, Fornage M, Seshadri S, DeStefano AL. Whole genome sequencing analysis of over 3500 individuals dementia-free over 85 years old. J Alzheimers Dis. 2026 Apr 23; 13872877261444302. PMID: 42024100.

    Read at: PubMed

  • Published 4/1/2026

    Koton S, Gross AL, Aparicio HJ, Beiser AS, Briceño EM, Coresh J, Elkind MSV, Giordani BJ, Gottesman RF, Hayward RA, Howard VJ, Johansen MC, Lazar RM, Springer MV, Stanton RJ, Sussman J, Wang H, Whitney RT, Ye W, Levine DA. Ischemic Stroke Incidence and Severity and Poststroke Cognitive Decline and Incident Dementia. JAMA Netw Open. 2026 Apr 01; 9(4):e268900. PMID: 41989779.

    Read at: PubMed

  • Published 4/1/2026

    Mulligan MD, Scott MR, Yang Q, Wang R, Ghosh S, Johnson KA, Beiser AS, Seshadri S, McGrath ER. Association of Circulating Vitamin D in Midlife With Increased Tau-PET Burden in Dementia-Free Adults. Neurol Open Access. 2026 Jun; 2(2). PMID: 41938573.

    Read at: PubMed

  • Published 3/5/2026

    Honnorat N, Wang D, Ho NH, Martinez D, Brandigampala SR, Heckbert SR, Bahrami M, Himali JJ, DeCarli C, Beiser A, Hughes TM, Seshadri S, Habes M. Derivation of machine learning brain aging biomarkers for a set of forty thousand functional connectomes. Brain Res Bull. 2026 Apr; 237:111815. PMID: 41794271.

    Read at: PubMed

Other Positions

  • Professor, Neurology
    Boston University Chobanian & Avedisian School of Medicine
  • Investigator
    Framingham Heart Study

Education

  • Boston University, PhD
  • University of California, San Diego, MA
  • University of California, Santa Cruz, BA