CV
Summary
Data Science and Bioinformatics leader with 15+ years of experience advancing NGS, Genomics, and ML/AI solutions across Human Health and Plant Health R&D. Proven record building and scaling high-performing teams, delivering ML/NGS platforms, and driving strategy from discovery and regulatory through deployment. Published author (Deep Learning for Genomics), inventor on multiple RNA-based biopesticide patents and publications, and collaborative technical leader.
Skills
- Programming: Python, R, SQL, Bash, C
- Machine Learning & AI: FNNs, CNNs, Natural Language Processing (NLP), Transformers, Generative AI (GenAI), model deployment and monitoring
- Bioinformatics / NGS: Short- and long-read sequencing, RNA-Seq, DNA-Seq, dsRNA-Seq, lincRNA, workflow automation with Snakemake and NextFlow
- Cloud Computing & Tools: AWS, Azure, Docker, PySpark, GitHub, Snowflake, HPC and GPU computing
- Leadership: Team building, strategic planning, cross-functional collaboration, and technical road mapping
Professional experience
- 2025–Present: Director of Data Science and Bioinformatics
GreenLight Biosciences, Durham, NC- Guide the overall strategy for Data Science initiatives, with a primary focus on Genomics, NGS, and the application of advanced ML and AI technologies for the development of RNAi biopesticides.
- Manage team execution and development, define project roadmaps aligned with organizational goals, and facilitate cross-functional collaboration to deliver key initiatives.
- Prototype and evaluate innovative ML and Genomics technologies, leveraging new approaches to inform and influence strategy at the organizational level.
- 2023–2025: Head of Data Science
GreenLight Biosciences, Durham, NC- Developed and implemented a comprehensive long-term strategy for Data Science and Bioinformatics, aligning initiatives with the organization’s objectives in RNAi product development and NGS analytics.
- Managed a dedicated team of six professionals, ensuring successful execution of projects related to RNAi products and advanced NGS analytics.
- Assessed emerging technologies in Genomics, ML, and Computational Biology to identify innovative solutions that could enhance R&D capabilities.
- Communicated project results and technical findings to both technical teams and executive stakeholders, facilitating informed decision-making and strategic planning.
- 2021–2022: Senior Manager, Data Science
GreenLight Biosciences, Durham, NC- Managed a multidisciplinary team across Data Science, Bioinformatics, Software Engineering, and Business Intelligence to support project goals and drive innovation.
- Led the deployment of ML solutions for mRNA platforms, optimizing workflows for Illumina and PacBio sequencing technologies.
- Served as the Data Science representative on core product development teams, integrating advanced analytics and computational methods into product strategy.
- 2021: Data Science Manager
GreenLight Biosciences, Durham, NC- Built and maintained a unified Bioinformatics and Analytics infrastructure on AWS for seamless data integration, processing, and analysis.
- Led RNAi target discovery and mRNA design, overseeing preparation of EPA data packages for regulatory submissions and compliance.
- Delivered critical RNA-Seq insights that directly informed and guided product development.
- 2020: Bioinformatics Data Scientist
GreenLight Biosciences, Durham, NC- Built the company’s RNAi bioinformatics discovery platform, enabling identification of target genes in insects and fungi.
- Implemented automated algorithms for designing double-stranded RNA (dsRNA) and streamlined NGS workflows.
- Designed and deployed scalable cloud infrastructure supporting multiple bioinformatics applications.
- 2016–2019: Science Informatician
CyVerse, University of Arizona, AZ- Integrated the Work-Queue MAKER genome annotation pipeline into the Jetstream cloud for scalable, efficient genome annotation.
- Streamlined deployment of bioinformatics tools and workflows in the CyVerse Discovery Environment using Bioconda and Biocontainers.
- Constructed an evolutionary analysis pipeline for Long-intergenic Non-Coding RNA (lincRNA) using RNA-Seq data.
- Expanded the CyVerse suite of bioinformatics tools by adding over 150 new applications.
- Supervisor: Dr. Eric Lyons
- Earlier roles
- 2019–2020: Data Science Fellow / Technical Consultant — Insight Data Science
- 2018–2019: Research Associate, Co-PI — University of Arizona
- 2015–2016: Research Associate — Oregon State University
- 2010–2015: Postdoctoral Fellow — University of California, Davis
- 2006–2009: Research Technician — University of Nottingham, UK
Selected patents
- RNA-based control of powdery mildew, US 12,077,763 (2024)
- RNA-based control of lepidopteran pests, US App. 17/925,204 (2023)
- RNA-based control of botrytis, US App. 17/815,196 (2023)
Full patents can be found at my Google Scholar profile.
Selected publications
- Smeele, Z. E., … Devisetty, U. K., … & Lester, P. J. (2026). An RNA interference biopesticide reduces reproduction of the honey bee parasite Varroa destructor by down-regulating embryo development pathways. Pest Management Science, 82(3), 2694–2707. doi:10.1002/ps.70406
- De Neef, E., Velásquez-Zapata, V., … Devisetty, U. K., & Sridharan, K. (2025). A bioinformatic ecological risk assessment framework for externally applied double-stranded RNA-based biopesticides. Integrated Environmental Assessment and Management (IEAM).
- Devisetty, U. K., De Neef, E., Gordon, E. R., Velásquez-Zapata, V., Narva, K., Mézin, L., Cahon, P. M., Witwer, K. W., & Sridharan, K. (2025). A bioinformatics framework for human health risk assessment of externally applied dsRNA-based biopesticides. Computational Toxicology, 33.
Full publications can be found at my Google Scholar profile.
Education
- Ph.D., Agriculture (Crop Genetics), University of Nottingham, UK, 2005–2009
- M.Sc., Molecular Biology & Biotechnology, G.B.P.U.A.T, India, 2001–2003
- B.Sc., Agriculture, A.N.G.R.A.U, India, 1996–2000
My full-length C.V can be found here.
