Gökçen Eraslan
About Gökçen Eraslan
Gökçen Eraslan is a Postdoctoral Researcher at the Broad Institute of MIT and Harvard, where he has worked since 2018. He has an extensive academic background in computational biology and systems biology, with degrees from institutions including Technical University Munich and Aalto University.
Work at Broad Institute
Gökçen Eraslan has been a Postdoctoral Researcher at the Broad Institute of MIT and Harvard since 2018. In this role, he engages in advanced research projects that contribute to the understanding of biological systems and diseases. The Broad Institute is known for its collaborative approach to biomedical research, and Eraslan's work aligns with its mission to improve human health through innovative science.
Education and Expertise
Gökçen Eraslan holds a Doctor of Philosophy (PhD) from the Technical University of Munich, where he studied from 2014 to 2018. He also earned a Master of Science (MS) in Computational Biology from Aalto University in 2014. Additionally, he completed another Master of Science (MS) in Systems Biology at KTH Royal Institute of Technology from 2012 to 2014. His educational background provides a strong foundation in computational and biological sciences.
Previous Research Experience
Before joining the Broad Institute, Gökçen Eraslan worked as a PhD student at HelmholtzZentrum München from 2014 to 2018. He also served as a Research Assistant at Aalto University for one year in 2013-2014. His experience includes a role as a Researcher at the Polymer Research Center for nine months in 2011-2012, and he worked as an Open Source Software Developer at TUBITAK from 2007 to 2011.
Academic Background
Gökçen Eraslan's academic journey began with a Bachelor of Science (BS) in Computer Engineering from Anadolu University, completed from 2004 to 2007. He furthered his studies with a Master of Science (MS) in Computational Biology at Aalto University in 2014, and another Master of Science (MS) in Systems Biology from KTH Royal Institute of Technology, completed in 2014. This diverse educational background supports his research in computational and biological fields.