Ryan Koehler

Ryan Koehler has a diverse and extensive work experience in the field of bioinformatics and computational biology.

Most recently, they worked as a Computational Biologist at Parse Biosciences starting in October 2019. Prior to that, they were a Scientific Research Consultant & Contractor at VerdAscend Sciences since January 2009, where they provided consulting and contract services in bioinformatics, including assay and oligo design, data processing, data mining, and machine learning.

Ryan also served as an Instructor at UC San Diego Extension since January 2009, teaching online courses on Genomic Sequencing Technologies and Bioinformatics.

From October 2015 to June 2019, they held the position of Principal Scientist, Bioinformatics at TOMA Biosciences. In this role, they were responsible for NGS data analysis, assay design, and development of analysis tools and pipelines.

From November 2010 to February 2013, Ryan worked as a Staff Scientist, Bioinformatics at QuantaLife/Bio-Rad, where they designed custom assays and developed computational processes.

Prior to that, they were a Staff Scientist, Bioinformatics at Applied Biosystems from October 1999 to January 2009. Ryan played a key role in the development of pipeline software for assay design and served as a scientific manager and mentor.

Ryan has also worked as an Associate Professor at California State University, East Bay, where they taught courses on Advanced Bioinformatics/Chemoinformatics and contributed to drug discovery projects.

During their early career, they worked as a Scientist, Computational Chemistry at Telik, Inc., providing support in molecular modeling, physico-chemical property predictions, and database management.

Overall, Ryan Koehler has demonstrated expertise in bioinformatics, computational biology, and scientific research, with a strong track record of teaching, consulting, and contributing to the development of innovative solutions in the field.

Ryan Koehler obtained a PhD in Chemistry (Organic / Computational) from the University of California, Santa Cruz from 1990 to 1995. Prior to that, they received a BS in Biochemistry from the University of California, Davis from 1986 to 1989. In addition to their formal education, they have obtained several certifications including "Python for Genomic Data Science" and "Structuring Machine Learning Projects" from Coursera in 2017, as well as "Introduction to Genomic Technologies" from Coursera in the same year.