Avjinder (Avi) Kaler
About Avjinder (Avi) Kaler
Avjinder (Avi) Kaler is a Senior Data Scientist with extensive experience in quantitative genetics, genomics, and crop physiology. He currently serves as an Adjunct Assistant Professor at the University of Arkansas and has held various research and teaching positions in academia and industry since 2010.
Current Role at Benson Hill
Avjinder Kaler serves as a Senior Data Scientist at Benson Hill, a position he has held since 2020. In this role, he applies his expertise in quantitative genetics and genomics to advance agricultural innovation. His responsibilities include data analysis and modeling to enhance crop performance and sustainability.
Academic Involvement at University of Arkansas
Kaler has been an Adjunct Assistant Professor at the University of Arkansas since 2019. He contributes to the academic community by teaching and mentoring students in areas related to quantitative genetics and crop physiology. His previous roles at the university include Postdoctoral Research Associate and Senior Graduate Research Assistant, where he focused on soybean genomics and physiology.
Educational Background
Kaler earned his Doctor of Philosophy (Ph.D.) in Quantitative Genetics, Genomics, and Crop Physiology from the University of Arkansas from 2013 to 2017. He also holds a Master of Science (MS) in Agronomy and Crop Science from the University of Florida, completed between 2011 and 2013, and a Bachelor of Science in Agricultural Plant Breeding and Genetics from Punjab Agricultural University, obtained from 2007 to 2011.
Professional Experience in Research and Internships
Kaler has over a decade of experience in various research roles. He worked as a Graduate Research Assistant at the University of Florida and held multiple internships with the Crop Science Society of America from 2014 to 2016. His early research experience includes a role as an Undergraduate Research Trainee at Punjab Agricultural University.
Expertise in Data Analysis and Crop Physiology
Kaler possesses expertise in high-throughput phenotyping and multiple-environmental data analysis. His background includes significant experience in quantitative genetics and genomics, which supports his contributions to agricultural research and development. He is recognized for his strong communication skills and ability to work effectively in team settings.