I'm a Bioinformatics and Computational Biology professional with expertise in combining biology and big data analytics to support genomics-enabled research. Currently working as a Research Associate III in Bioinformatics at the Animal Disease Research & Diagnostic Laboratory, South Dakota State University.

• Next Generation Sequencing (NGS) data analysis
• Machine Learning in Bioinformatics
• Genomics and Transcriptomics
• Host-Pathogen Interactions
• Computational Systems Biology

• Programming Languages: Python, R, Perl
• Environments: Linux/Unix
• NGS Analysis: Genome Assembly, RNA-Seq, Small RNA Sequencing, Digenome
• Machine Learning: Deep Learning, Support Vector Machines, Neural Networks
• Bioinformatics Tools: CLC Genomics, BLAST, InterProScan, Gene Ontology

• Ph.D. in Plant Sciences (Bioinformatics and Computational Biology)

  • Utah State University (2019-2023)
  • Thesis: Machine learning and Data mining in complex genomics big data: developing efficient tools to advance computational systems biology

• M.Sc. in Bioinformatics

  • Punjabi University Patiala, India (2008-2010)
  • Thesis: In silico prediction of microRNA in Catharanthus roseus and their role in metabolomics

• Developed PRGminer: A deep learning tool for predicting resistance genes in plant defense mechanisms
• Created HuCoPIA: An atlas of Human vs. SARS-CoV-2 Interactome
• Multiple grants as Co-PI and Co-I for research in viral diseases and biosecurity
• Published research in prestigious journals including Frontiers in Plant Science and Viruses

Feel free to reach out for collaborations or just a chat about bioinformatics and computational biology!

"Using computational approaches to unlock the secrets of life"