Ryan Peckner
About Ryan Peckner
Ryan Peckner is a Principal Scientist specializing in Machine Learning and Computational Biology at Seismic Therapeutics in Cambridge, Massachusetts. He has a strong academic background with a PhD in Mathematics from Princeton University and has held various research positions in notable institutions.
Current Role at Seismic Therapeutic
Ryan Peckner serves as Principal Scientist in Machine Learning and Computational Biology at Seismic Therapeutic. He has held this position since 2022, contributing to advancements in computational biology and machine learning within the organization. His role involves applying his expertise to enhance therapeutic development processes.
Previous Experience at TRex Bio
Before joining Seismic Therapeutic, Ryan Peckner worked as a Senior Scientist at TRex Bio from 2021 to 2022. During his tenure in South San Francisco, California, he focused on integrating computational approaches to support research initiatives in the biotechnology sector.
Postdoctoral Research at Broad Institute
Ryan Peckner completed a four-year postdoctoral research position in Computational Biology at the Broad Institute of MIT and Harvard from 2015 to 2019. His work involved utilizing computational methods to analyze biological data, contributing to significant projects in the field.
Education and Academic Background
Ryan Peckner earned a Doctor of Philosophy (PhD) in Mathematics from Princeton University, where he studied from 2010 to 2015. Prior to this, he obtained a Bachelor's degree in Mathematics from the University of California, Berkeley, from 2006 to 2010. His academic background provides a strong foundation for his work in computational biology and machine learning.
Experience as Data Scientist at Repertoire Immune Medicines
From 2019 to 2021, Ryan Peckner worked as a Data Scientist at Repertoire Immune Medicines in Cambridge, Massachusetts. In this role, he applied data analysis techniques to support research and development efforts in immune medicine.