I write about
Hi! My name is Avinash Karn, I go by Avi. I am very passionate about plants and cutting-edge technology. I have in-depth knowledge and a rigorous hands on experience in the field of plant breeding, quantitative genetics, computational biology and high-throughput phenotyping for over 10 years now, which I earned during my research work with plant breeders/geneticists, bioinformaticists, pathologist in my undergraduate, graduate and my postdoctoral career here in the United States.
"Share knowledge. Its one way to immortality" - Dalai Lama. I strongly believe in this saying, and I intend to use my education and training in pursuing a career in an organization that is involved to improve human nutrition, health and environment for both developed and developing communities.
Current position: Since 2018 Jan, I have been a Computational biologist/Molecular breeding data scientist postdoc in VitisGen2 (USDA NIFA funded) project at Cornell AgriTech, Cornell University in Geneva, NY
- 2012–2017 PhD - Plant Breeding, Genetics & Genomics — University of Missouri Columbia, Columbia, MO, USA
- 2008–2012 BSc Agricultural Sciences — Truman State University, Kirksville, MO, USA
Technical Skills: R, Python, Statistics, Machine Learning, Genetics, Genomics, Plant Breeding, Molecular Biology, Quantitative Genetics, Data Processing in Shell, Bioinformatics, UNIX/LINUX, BASH, HPC cluster, PERL, CSS, HTML, SQL, and GitHub
Agriculture & Biological skills:
- Lab Skills: DNA extraction, PCR, Gel Electrophoresis, Microscopy
- Farming Skills: Plowing Field with Tractor, Seed Planting, Pollination
Language Skills: Fluent in English, Nepali, Hindi, Maithali, Bhojpuri, and Basic Spanish skills
Hobbies: Astronomy, Painting (watercolor), Cooking (American, Indian, Spanish), Stamp Collecting, Robotics, Bird watching, Fish keeping, Gardening
Selected Research Publications
A rhAmpSeq haplotype strategy targeting the collinear core genome improves marker transferability across a diverse genus
Cheng Zou*,Avinash Karn*, Bruce Reisch, Allen Nguyen, Yongming Sun, Yun Bao, Michael S. Campbell, Deanna Church, Stephen Williams, Timothy P. L. Smith, Anne Fennell, Doreen Ware, Jason Londo, Qi Sun and Lance Cadle-Davidson
Computational analysis of AmpSeq data for targeted, high-throughput genotyping of amplicons
Jonathan Fresnedo-Ramírez , Shanshan Yang , Qi Sun, Avinash Karn , Bruce I. Reisch, Lance Cadle-Davidson (2019)
Genome Wide Association Study (GWAS) on Disease Resistance in Maize. Shrestha, Vivek, Mani Awale, and Avinash Karn. Springer, Cham, 2019
Genetic Analysis of Teosinte Alleles for Kernel Composition Traits in Maize Karn, Avinash, Gillman, J. D., & Flint-Garcia, S. A. (2017)
Development of Rigorous Fatty Acid Near-Infrared Spectroscopy Quantitation Methods in Support of Soybean Oil Improvement.
Karn, Avinash, Heim, C., Flint-Garcia, S., Bilyeu, K., & Gillman, J. (2016)
Breeding Specialty Starch Maize Using Exotic Genetic Resources for Gene Discovery of Novel Alleles and Modifiers with Materials Generated from the USDA-ARS GEM Project (2011)
Karn, Avinash, Brent Buckner, Diane Janick-Buckner, Mark Campbell, Michael Blanco, Marvin Scott, and Adrienne Moran Lauter .
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