Jeff Gerold
About Jeff Gerold
Jeff Gerold is the Head of Data Science at Dyno Therapeutics in Cambridge, MA, with a PhD in Bioinformatics from Harvard University and extensive experience in machine learning and genomics.
Professional Title
Jeff Gerold is currently the Head of Data Science at Dyno Therapeutics in Cambridge, MA.
Education and Expertise
Jeff Gerold holds a Doctor of Philosophy (PhD) in Bioinformatics from Harvard University, where he studied from 2013 to 2019. He also earned a Bachelor of Science (B.S.) degree in Biomedical Engineering from Washington University in St. Louis, completing his studies there between 2009 and 2013.
Early Career and Internships
Jeff Gerold's early career includes a two-month internship as a Research Intern at Shenzhen Institute of Advanced Integration Technology, Chinese Academy of Sciences in 2011, and a two-month stint as a Summer Research Intern at Fermilab in 2009. In 2012, he also participated as a student in the Harvard-MIT HST Summer Institute in Bioinformatics and Integrative Genomics.
Role at Dyno Therapeutics
At Dyno Therapeutics, Jeff Gerold has developed innovative data science strategies to integrate biological data and advance therapeutic research. He has been instrumental in implementing machine learning models to optimize gene therapy vectors and has actively mentored junior data scientists and biologists.
Research and Publications
Jeff Gerold has presented research findings at the International Conference on Computational Biology in 2022 and has published multiple peer-reviewed papers on the application of data science in genomics. He has also contributed to the development of a proprietary algorithm that significantly improved the accuracy of genomic data analysis.