Arnav Mehrotra, PhD

Experience

• 

  Rajasthan University of Veterinary and Animal Sciences, Bikaner

  Feb 2015 - Apr 2017

  Master’s Researcher

  • Investigated the genetic basis of reproduction performance in indigenous sheep to enhance farm profitability and optimize breeding strategies.• Collected, encoded, and cleaned data from farm records using Microsoft Excel for further analysis.• Employed General Linear Model methodology in IBM SPSS software and utilized REML estimation through WOMBAT for data analysis.• Implemented findings and recommendations on the farm, leading to the publication of three research articles and presentations at three conferences.• Awarded best poster presentation at SOCDAB 2018 National Conference. Weniger anzeigen

• 

  Indian Veterinary Research Institute, Izatnagar

  Aug 2017 - Jan 2021

  Senior Research Fellow, Indian Veterinary Research Institute

  • Completed two projects focused on the genetic basis of pigs' immune response to live vaccines and the first genomic characterization of Indian pigs; mentored graduate students throughout the research process and collaborated with ETH Zürich.• Developed proficiency in open-source tools such as Plink, GCTA, rehh, DESeq2, and Bioconductor for genomic and transcriptomic analyses, and utilized dplyr and ggplot for data wrangling and visualization.• Performed blood sampling and executed molecular biology protocols to isolate PBMCs, DNA, and RNA; managed logistics of biological sample shipment and collaborated with sequencing providers.• Contributed to the publication of 16 research articles and presented findings at a national conference. Weniger anzeigen

• 

  ETH Zürich

  Jan 2021 - now

  Postdoctoral Scientist / Scientific Assistant II

  • Leading two independent research projects focused on enhancing livestock disease resistance, collaborating with industry partners and service providers across various functions.• Implemented Snakemake pipelines to efficiently analyze SNP genotypes, long and short-read genomic, and transcriptomic sequencing data in a high-performance computing cluster environment.• Developed R and Python scripts to conduct statistical testing between genotypes and disease resistance phenotypes.• Troubleshot molecular biology protocols to reliably extract high molecular weight DNA from a diverse range of samples.• Achievements include 1 peer-reviewed publication, 1 conference abstract, and 2 project reports. Weniger anzeigen