Sudarshan Shetty
Team Leader Microbiomics at Danone Research & Innovation
Netherlands
Summary
👤
Senior🎓
Top SchoolSudarshan Shetty is a microbiome scientist and team leader with a decade of research experience translating microbiome science into nutrition and health applications. Currently leading the Microbiomics team at Danone Research & Innovation in the Netherlands, he progressed from postdoctoral roles across Dutch research institutes to senior scientist and now team lead, blending deep academic training (PhD, Wageningen) with industry-focused product translation. He has a strong track record in microbial ecology and applied microbiomics, navigating both laboratory and translational pipelines to scale insights for global health. Known for bridging rigorous postdoctoral research at UMCG, RIVM and Wageningen with commercial innovation, he brings both scientific rigor and practical leadership to interdisciplinary teams. An early-career detail that stands out is his sustained cross-institutional collaboration across national public-health and university labs, enabling faster adoption of research findings into real-world nutrition programs.
10 years of coding experience
5 years of employment as a software developer
Saint Francis De Sales High School, PuneM.Sc. Microbiology, M.Sc. Microbiology at Modern College, Ganeshkhind, PuneMaster of Science Microbiology, Master of Science Microbiology at Savitribai Phule Pune UniversityDoctor of Philosophy - PhD Microbiology General, Doctor of Philosophy - PhD Microbiology General at Wageningen University & ResearchArts; Bachelor of Science Science and Commerce; Microbiology, Arts; Bachelor of Science Science and Commerce; Microbiology at Modern College
English, Hindi, Marathi, Tulu
Github Skills (48)
ecology10
nmf10
taxonomy10
reproducible-science10
r-package10
microbiology10
r10
microbiome10
meta-analysis10
bioconductor10
bioinformatics10
phyloseq10
government-data10
metagenomics10
visualization9
Programming languages (7)
Github contributions (5)
microsud/Tools-Microbiome-Analysis
Aug 2017 - Jan 2023
A list of R environment based tools for microbiome data exploration, statistical analysis and visualization
Contributions:1 release, 155 commits, 25 PRs in 5 years 6 months
metagenomicsmicrobiome-analysisstatistical-analysisr-packagemicrobiota
microsud/dysbiosisR
Sep 2022 - Dec 2022
The dysbiosisR package implements tools for calculating some common microbiome dysbiosis measures
Contributions:1 release, 1 review, 51 commits in 2 months
sarifmicrobiotameasuresmicrobiometraits
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