Jason Peiffer
About Jason Peiffer
Jason Peiffer serves as the Lead Quantitative Geneticist at Ohalo Genetics, where he specializes in genomic prediction and molecular marker-assisted plant breeding. He has extensive experience in plant genetics, having worked at notable institutions such as Cornell University, DuPont Pioneer, and Driscoll's.
Current Role at Ohalo Genetics
Jason Peiffer serves as the Lead Quantitative Geneticist at Ohalo Genetics since 2019. In this role, he manages domain and high-performance cloud-based computing infrastructure. He is responsible for developing and deploying sequence data pipelines, which are essential for genomic analysis and research. His position involves applying his extensive knowledge in quantitative genetics to advance the company's objectives in plant breeding.
Previous Experience at Cornell University and USDA-ARS
Prior to his current position, Jason Peiffer worked as a Graduate Research Assistant at Cornell University and USDA-ARS from 2007 to 2012. During this five-year tenure in Ithaca, New York, he contributed to research in plant genetics and molecular biology under the guidance of Edward Buckler. This experience laid the foundation for his expertise in quantitative genetics.
Professional Background in Data Science and Genetics
Jason Peiffer has a diverse professional background that includes roles at DuPont Pioneer and Driscoll's. He worked as a Data Scientist in the Department of Breeding Technologies at DuPont Pioneer from 2014 to 2017, where he focused on data analysis for plant breeding. Following this, he served as a Quantitative Geneticist at Driscoll's from 2017 to 2019, further enhancing his skills in quantitative genetics and breeding methodologies.
Education and Academic Credentials
Jason Peiffer earned his Ph.D. in Plant Breeding and Quantitative Genetics from Cornell University, completing his studies from 2007 to 2012. He also holds a B.S. in Plant Genetics and Molecular Biology from the University of Delaware, where he studied from 2004 to 2007. His academic training provided him with a strong foundation in the principles of genetics and molecular biology.
Technical Skills and Expertise
Jason Peiffer possesses strong analytical skills in genomic prediction, genome alignment, and variant calling. He has programming experience in SQL, ASREML, R, and Bash, which he utilizes for DNA sequence analysis. His expertise extends to developing methods that accelerate genetic gain in molecular marker-assisted plant breeding programs, showcasing his ability to integrate technology with genetic research.