Biography

Dr. Renesh Bedre is an Assistant Research Scientist at Texas A&M AgriLife Research. He received his Ph.D. from Louisiana State University, where he studied and applied genomics and bioinformatics approaches to understand the genetics of model and non-model plants associated with diseases and abiotic stresses.

At Texas A&M AgriLife Research, he continued his work on high-throughput genomics analysis and developed new computational methods to understand the complex genetic traits, gene networks, pathways, and basal molecular mechanisms for developing next-generation crops.

In his research, he primarily employs bioinformatics, statistical, and machine learning methods to exploit the large-scale sequencing datasets and interpret meaningful biological information.

Besides, he developed scalable software/tools, automated analysis pipeline, statistical models, and integrated databases for effective analysis and visualization of massive omics datasets. He primarily uses Python and R for data analysis and visualization. He uses Nexflow for computational pipelines for reproducible and scalable omics data analysis.

From his research output, Dr. Bedre bridges the gap between high-throughput plant genetics data and actionable biological insights for experimental biologists.

Research Goals

My research goal is to analyze high-throughput genetics data and develop new computational methods to understand the molecular mechanisms for crop improvement to increase yield and stress resistance. I accomplish these goals by:

  • Apply bioinformatics, statistical, and machine learning methods on big high-throughput omics datasets to exploit and interpret meaningful biological information
  • Develop scalable software/tool, automated analysis pipeline, statistical models, and integrated databases for effective analysis and visualization of big high-throughput omics datasets
  • Work closely with biologists and multi-disciplinary collaborators to help to quickly understand the biological data

Academic Contributions

  • 20+ peer-reviewed scientific articles (research papers and book chapters) with 210+ citations
  • 20+ conference presentations
  • 3 Bioinformatics open-source software resources
  • Invited scientific talks and workshops on Bioinformatics
  • Bioinformatics blog with monthly 10000+ visitors and 17000+ pageviews (Alexa web rank 1.2 M as of September 19, 2020)
  • 55+ research papers reviewed for several scientific journals

Appointments and education

  • Assistant Research Scientist, May 2020-Present
    Kranthi Mandadi Research Group
    Texas A&M AgriLife Research, TX, USA
  • Postdoctoral Research Associate, Oct 2016-Apr 2020
    Texas A&M AgriLife Research, TX, USA
  • Ph.D. in Computational Biology and Bioinformatics, Aug 2011- Aug 2016
    Louisiana State University, baton Rouge, LA, USA
  • M.S. in Bioinformatics, 2009-2011
    Indian Institute of Information Technology, Allahabad, UP, India
Please, read CV for research experience, awards, and achievements