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Sundaran Reddy
Bioinformatics Scientist
Bioinformatics Scientist
Sundaran Reddy is a Bioinformatics Scientist with 9+ years of experience in omics data analysis, computational biology, and scalable workflow development. Skilled in single-cell and RNA-seq analytics, machine learning integration, and cloud-based pipeline automation using R, Python, CWL, Nextflow, and Docker. He develops efficient, reproducible bioinformatics solutions that drive biological insights and support precision medicine
FORMERLY AT
VELSERA, India
LOCATION
Pune
AVAILABILITY
Full-time
Skills
Algorithm Design
Biomarker Discovery
Computational Modeling
Live-cell Imaging
MATLAB
ML Models
Omics Analytics
Plotly
R
R-Shiny
RNA-seq
Single-cell RNA-seq
Work Experience
Bioinformatics Scientist
Solvuu Inc., USA
August 2023 – May 2025
- Developed mechanism-of-action (MOA) pipelines for RNA-seq and variant filtration. Applied machine learning models to cell viability datasets and built R-Shiny/Plotly dashboards for visualization. Enhanced scalable bioinformatics infrastructure for reproducible omics analysis.
TECHNOLOGIES
R, R-Shiny, Plotly, ML Models, RNA-seq, Omics Analytics
Postdoctoral Researcher
Shanghai Institute of Nutrition & Health, CAS, China
November 2019 – June 2023
- Created scalable computational models (CCAT, DICE, FEM, ELVAR) in R for single-cell analytics. Identified biomarkers, potency states, and disease-associated cell transitions. Designed algorithms to detect subtle variations in single-cell datasets.
TECHNOLOGIES
R, Single-cell RNA-seq, Algorithm Design, Biomarker Discovery
Postdoctoral Researcher
University of California, Los Angeles (UCLA), USA
September 2016 – August 2019
- Performed computational modeling and live-cell imaging analysis to study cellular signaling and differentiation. Used MATLAB-based simulations to analyze information transfer dynamics in cell pathways.
TECHNOLOGIES
MATLAB, Computational Modeling, Live-cell Imaging
