Karl Kremling
About Karl Kremling
Karl Kremling is a Senior Scientist in Computational Biology at Inari, where he has worked since 2018. He has a background in plant breeding and genetics, holding a Ph.D. from Cornell University and experience in various research roles.
Work at Inari
Karl Kremling has been serving as a Senior Scientist in Computational Biology at Inari since 2018. He works in Cambridge, Massachusetts, where he leads a team focused on prioritizing targets in plant genomes for CRISPR Cas editing. His work integrates quantitative genetics, genomics, and data science to enhance plant breeding efforts. Kremling also plays a significant role in communicating the scientific narrative of Inari to external stakeholders, ensuring that the company's advancements in plant genetics are effectively conveyed.
Education and Expertise
Kremling earned his Ph.D. in Plant Breeding and Genetics from Cornell University, where he studied from 2012 to 2018. His education was supported by the NSF Graduate Research Fellowship (NSF-GRFP). Prior to his doctoral studies, he completed a Bachelor's degree with Honors in Biology and Spanish at Grinnell College from 2006 to 2010. His expertise encompasses plant genetics, machine learning, metagenomics, and genome editing, which he applies in his current role at Inari.
Background
Before joining Inari, Karl Kremling gained valuable experience in various research roles. He worked as a Graduate Student in Plant Breeding and Genetics at Cornell University from 2012 to 2018. His earlier roles include serving as a Research Associate at the University of California, Berkeley from 2010 to 2012, and as a Research Intern at CIMMYT - International Maize and Wheat Improvement Center in 2009. He also completed a two-month NSF Summer Internship at the Boyce Thompson Institute in 2009.
Achievements
Kremling has contributed to the development of intellectual property that spans multiple domains, including plant genetics, machine learning, metagenomics, and genome editing. He utilizes Agile methods and tools to effectively manage scientific and data science projects. His leadership in prioritizing targets for CRISPR Cas editing reflects his commitment to advancing plant breeding technologies.