Bloemendal, Alexander

Alexander Bloemendal, PhD

Alex Bloemendal is a computational scientist at the Broad Institute of MIT and Harvard and at the Analytic and Translational Genetics Unit of Massachusetts General Hospital. As a member of Broad institute member Ben Neale’s lab, Bloemendal leads a group in developing new methods to analyze genetic data, harnessing its unprecedented scope and scale to discover the genetic causes of disease. He also co-founded and directs the Models, Inference & Algorithms initiative at the Broad, bridging computational biology, mathematical theory, and machine learning. Bloemendal is an institute scientist at the Broad.

Bloemendal was previously a research scientist in the Program for Evolutionary Dynamics and a Simons Fellow in the Department of Mathematics at Harvard University. His research in probability theory and random matrices focused on questions of signal and noise in high-dimensional data; he proved an open conjecture with wide-reaching applications for fields including population genetics. He also earned a teaching award for an advanced course on probability.

Bloemendal received an Hon. B.Sc., M.Sc., and Ph.D. in mathematics from the University of Toronto.

Publications

Ganna A, Genovese G, Howrigan DP, Byrnes A, Kurki MI, Zekavat SM, Whelan CW, Kals M, Nivard MG, Bloemendal A, Bloom JM, Goldstein JI, Poterba T, Seed C, Handsaker RE, Natarajan P, Mägi R, Gage D, Robinson EB, Metspalu A, Salomaa V, Suvisaari J, Purcell SM, Sklar P, Kathiresan S, Daly MJ, McCarroll SA, Sullivan PF, Palotie A, Esko T, Hultman CM, Neale BM
Ultra-rare disruptive and damaging mutations influence educational attainment in the general population.
Nat Neurosci. 2016;19(12):1563-1565 - PMID: 27694993 - PMCID: PMC5127781