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Matthew Eaton
Head of Computational Biology at Syros Pharmaceuticals
Matthew Eaton is a computational biologist with a diverse skill set that integrates machine learning, computer science, and statistics techniques with a focus on chromatin and epigenetics in the context of human disease.
Currently, he holds the position of Director and leads the computational biology team at Syros Pharmaceuticals, where he translates biological insights into potential therapeutic applications.
In addition to his role at Syros Pharmaceuticals, Matthew is an active member of the Boston Computational Biology and Bioinformatics group, contributing to the local computational biology community.
His specialties include computational biology, chromatin, epigenetics, genetics, gene/chromatin signature biomarker development, drug target discovery, genomics, microarray and next-gen sequencing analysis, and human disease.
Matthew's expertise also extends to data mining, databases, bioinformatics, machine learning, and big data.
He pursued his education diligently, earning a Ph.D. in Computational Biology & Bioinformatics from Duke University, complemented by a B.A. in Philosophy and Computer Science from Wesleyan University.
Matthew's professional journey includes various impactful roles such as Associate Director, Principal Scientist, and Senior Scientist in the Computational Biology field at Syros Pharmaceuticals.
Before his current position, he served as a Research Affiliate in Computational Biology at MIT, a Computational Biology Consultant at Novartis, and a Postdoctoral Associate at MIT.
Furthermore, Matthew has a background in programming and database administration, having worked as a Programmer & DBA at Bock Interactive and as a Co-Founder at CampusMatch Networks, Inc.
His career also features academic contributions, including the role of Researcher & Hughes Fellow at the Wesleyan University Biology Department.
With an extensive and diverse professional background, Matthew Eaton stands out as a prominent figure in the computational biology landscape, blending his expertise in biological sciences and computational techniques to unravel the complexities of human disease.
