Seong Kyu Han
About Seong Kyu Han
Seong Kyu Han is a Postdoctoral Researcher at the Broad Institute of MIT and Harvard, specializing in interpretable machine-learning models for biomedical applications. He has extensive experience in single-cell regulatory genomics and has held various research positions at notable institutions, including Harvard Medical School and Boston Children's Hospital.
Work at Broad Institute
Seong Kyu Han has been a Postdoctoral Researcher at the Broad Institute of MIT and Harvard since 2020. In this role, he focuses on developing interpretable machine-learning models tailored for biomedical artificial intelligence applications. His work contributes to advancing the understanding and utilization of machine learning in the field of biomedicine.
Current Positions
In addition to his role at the Broad Institute, Seong Kyu Han serves as a Postdoctoral Fellow at Harvard Medical School and as a Research Fellow in Nephrology at Boston Children's Hospital, both positions also starting in 2020. These roles allow him to further explore single-cell regulatory genomics and its implications in nephrology.
Previous Experience
Prior to his current positions, Seong Kyu Han held several research roles. He was a Postdoctoral Fellow at Pohang University of Science and Technology from 2018 to 2019, and an Adjunct Researcher at Samsung Medical Center's Genomic Institute from 2019 to 2020. He also worked as a Visiting Researcher at UCLA's Institute for Genomics from 2011 to 2012.
Education and Expertise
Seong Kyu Han earned his Doctor of Philosophy (Ph.D.) in Computational Biology from Pohang University of Science and Technology, completing his studies from 2011 to 2018. He also holds a Bachelor's Degree in Life Sciences and Computer Science Engineering from the same institution, which he obtained from 2006 to 2011. His educational background supports his research in biological networks and genotype-phenotype relationships.
Research Focus
Seong Kyu Han's research primarily revolves around single-cell regulatory genomics. He investigates the regulatory mechanisms at the single-cell level and studies biological networks to enhance the understanding of complex biological systems. His work aims to elucidate the architecture of genotype-phenotype relationships, contributing valuable insights to the field.