Alex Bloemendal

Alex Bloemendal

Computational Scientist @ Broad

About Alex Bloemendal

Alex Bloemendal is a Computational Scientist at the Broad Institute of MIT and Harvard, where he has worked since 2015. He earned his PhD in Mathematics from the University of Toronto and has held research positions at Harvard University.

Work at Broad Institute

Alex Bloemendal has been employed at the Broad Institute of MIT and Harvard as a Computational Scientist since 2015. In this role, he contributes to various research initiatives that leverage computational methods to advance scientific understanding in biology and medicine. His work involves collaborating with interdisciplinary teams to analyze complex data sets and develop computational tools that support ongoing research projects.

Education and Expertise

Alex Bloemendal earned his Doctor of Philosophy (PhD) in Mathematics from the University of Toronto, completing his studies from 2006 to 2011. Prior to this, he obtained a Bachelor of Science (BSc) degree from the same institution, studying from 2001 to 2005. His educational background provides a strong foundation in mathematical principles, which he applies in his current role as a Computational Scientist.

Background in Research

Before joining the Broad Institute, Alex Bloemendal worked at Harvard University. He served as a Research Scientist in the Program for Evolutionary Dynamics and the Department of Mathematics from 2014 to 2015. Additionally, he was a Simons Postdoctoral Fellow in the Department of Mathematics from 2011 to 2014. These positions allowed him to deepen his research experience and expertise in mathematical applications within biological contexts.

Professional Experience

Alex Bloemendal has accumulated significant experience in computational science and mathematics through various roles. His tenure at Harvard University included both postdoctoral and research scientist positions, where he focused on applying mathematical concepts to evolutionary dynamics. This experience has been instrumental in shaping his approach to scientific research and collaboration within interdisciplinary teams.

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