Hi, I'm Robinson Vidva, a Computational Biologist with over 18 years of experience in bioinformatics, immunology, neuroscience, oncology, and drug discovery. I specialize in computational biomodel development and biological data analytics. My work has contributed to 7 peer-reviewed publications, 2 preprints under review, 14 conference presentations, 2 granted patents, and 145+ citations.
Currently, I'm a Research Technician at Children's National Hospital, where I integrate multi-omics analyses to uncover insights into preterm birth-associated neurodevelopmental deficits. I'm also the founder of Digirobi Solutions, where I developed innovative computational biology solutions.
Location: Washington, DC, USA Email: [email protected] Website: robinsonvidva.com
- Master of Science (MS) - Data Analytics | Western Governors University, USA (2024-2025)
- Capstone: Regression and clustering analysis of Seoul bike-sharing demand
- Master of Business Administration (MBA) - Project Management | Sikkim Manipal University, India (2012-2020)
- Bachelor of Technology (B.Tech.) - Biotechnology | Bharathidasan University, India (2003-2007) | First Class with Distinction
- Integrated multi-omics analyses (bulk RNA-seq, metabolomics, genomics) using Python, R, and SQL
- Applied DeepLabCut, BSOID, and custom Python scripts for behavioral analysis in mouse models
- Built ML and statistical models for motor coordination data analysis
- Analyzed neonatal growth data using Fenton charts with advanced statistical methods
- Developed computational biology model for neuropathway analysis using MATLAB (1 publication)
- Analyzed cancer genomics data and developed web-based workflow, securing 1 patent
- Co-developed MyVivarium, an open-source cloud app for research animal colony management (1 first-author publication)
- Provided project-to-product management support for 3+ businesses
- Developed molecular biology and cell signaling models (TNF, Interleukin, metabolism) for disease mechanisms
- Created comprehensive autoimmune disease model involving 8 cell types (3 publications, 5 conference abstracts)
- Built cancer drug/therapeutic models and genomics database with 500+ cancer cell lines and TCGA data (1 leukemia publication, 7 ASH abstracts)
- Secured 1 approved patent on drug repurposing and 2 patent applications for RA therapeutics
- Managed teams of 10+ members in data analytics and computational biology projects
- Led 25+ training sessions for team development
- Transcriptomics, metabolomics, and genomics integration
- Neurodevelopmental disorders, particularly preterm birth effects on brain development
- Immuno-oncology and immune-mediated cancer therapies
- Autoimmune disease modeling
- Drug discovery and therapeutic development
- Behavioral analysis using DeepLabCut and BSOID
Programming & Tools:
- Python, R, SQL, MATLAB, C, C++, Unix Shell, HTML/CSS/JavaScript, PHP
- Git/GitHub, DeepLabCut, BSOID, BONSAI, Tableau, AWS
Scientific Expertise:
- Developmental Neuroscience, Immunology, Cancer Biology
- Multi-omics Analysis (RNA-seq, Metabolomics, Genomics)
- Mathematical Modeling, Computational Biology, Bioinformatics
- Precision Medicine, Drug Discovery, Systems Biology
- Machine Learning & Deep Learning, Predictive Modeling
Leadership & Soft Skills:
- Project Management, Team Leadership, Cross-functional Team Direction
- Data-driven Decision Making, Scientific Communication
- Frontiers in Immunology (2025): "Eph/Ephrin-Mediated Immune Modulation: A Potential Therapeutic Target for Skin Cancer"
- Computational and Structural Biotechnology Journal (2025): "MyVivarium: A cloud-based lab animal colony management application with real-time ambient sensing"
- Journal of Neurodevelopmental Disorders (2022): "Computational analysis of cortical neuronal excitotoxicity in a large animal model of neonatal brain injury"
- Scientific Reports (2019): "Computational Models Accurately Predict Multi-Cell Biomarker Profiles in Inflammation and Cancer"
- Leukemia Research (2019): "Predicting response to BET inhibitors using computational modeling: A BEAT AML project study"
View all publications on Google Scholar
- US11478444B2 (2022): Use of scientifically matched plant supplements combined with antineoplastic compounds for hematological malignancies
- US10098880B2 (2018): Combination therapy for treating cancer caused by PTEN/TP53 aberrations
- Advanced Data Modeling - Western Governors University (2024)
- Data Analytics Fundamentals - Western Governors University (2024)
- Data Preparation - Western Governors University (2024)
- Email: [email protected]
- Website: robinsonvidva.com
- LinkedIn: Robinson Vidva
- GitHub: robinson-vidva
- Google Scholar: Publications
- ResearchGate: Profile
- ORCID: Profile
"Advancing computational biology and biological data analysis innovation through data-driven insights and collaborative research"