Work Experience
Research Technician, Children's National Hospital
Title reflects the current administrative classification (reclassification in progress); the work itself is computational biology and bioinformatics, as detailed below.
- Conduct multi-omics analyses (RNA-seq, metabolomics, genomics) of mouse and human datasets in Python, R, and SQL to identify differentially expressed genes, pathways, and GO terms underlying preterm cerebellar deficits in NEC, SIDS, and related neurodevelopmental disorders.
- Quantify behavioral data from 250+ mice using DeepLabCut and B-SOiD to characterize the effects of physical therapy and environmental enrichment on preterm neurodevelopmental outcomes, including three-chamber sociability assays.
- Develop statistical and machine-learning models on Erasmus Ladder motor-coordination data from 160 preterm mice to identify gait and cerebellar deficits.
- Conduct longitudinal analysis of multi-domain clinical data from 200+ preterm infants — MRI, cranial ultrasound, Fenton growth charts, and neurodevelopmental scores — to characterize NEC developmental trajectories.
Founder & Lead Computational Biologist, Digirobi Solutions
- Founded an independent computational-biology consultancy supporting 5+ engagements (3 commercial, 2 academic) in cancer therapeutics and open-source scientific tooling.
- Built cancer genomics, drug, and nutrition databases through targeted data mining of open and proprietary sources.
- Modeled the SRC kinase signaling pathway in MATLAB; contributed to a peer-reviewed publication on molecular signaling.
- Analyzed cancer nutrigenomics data; co-invented a USPTO-granted patent on a nutraceutical combination for cancer therapy.
- First-authored MyVivarium, an open-source animal colony management platform — developed in collaboration with the Sathyanesan Lab (Dr. Aaron Sathyanesan, University of Dayton) and deployed at 3 partner laboratories (200+ animals); published in Computational and Structural Biotechnology Journal (2025).
Senior Lead Scientist, Cellworks Life
- Led a multidisciplinary team of 10+ scientists developing computational precision-medicine platforms for oncology; defined institutional standards for modeling reproducibility and validation.
- Designed and validated digital drug-response models achieving 80%+ correlation with experimental data across solid and hematologic cancers, integrating TCGA, MSK-IMPACT, and 10+ proprietary genomic, transcriptomic, and pharmacological datasets.
- Constructed a 500+ cancer cell-line database with associated IC50 drug-sensitivity profiles, supporting systematic validation of model predictions and peer-reviewed publications.
- Curated 15+ external clinical datasets for training, validation, and benchmarking of predictive models.
Lead Scientist, Cellworks Life
- Developed an integrated drug-knowledge repository of ~200 compounds, cataloging target profiles, mechanisms of action, pharmacokinetic parameters, and resistance/activity biology to support therapeutic discovery.
- Translated computational findings into publications and intellectual property; contributing inventor on US 10,098,880 B2 (PTEN/TP53-targeted cancer combination therapy), with responsibility for claim drafting and patent prosecution.
- Evaluated computational therapeutic candidates and contributed to collaborative research with pharmaceutical partners.
- Mentored junior scientists and led 25+ training sessions on computational biology and data analytics.
Associate Lead Scientist, Cellworks Life
- Developed a systems-biology model of rheumatoid arthritis incorporating 8 distinct cell types with comprehensive in vivo validation.
- Identified 2 synergistic drug combinations through systematic computational screening; advanced candidates for clinical collaboration.
- Contributions resulted in 2 patent applications and presentations at the American College of Rheumatology; collaborative work on inflammatory skin disorders yielded peer-reviewed publications.
- Established institutional quality standards for computational model development and validation.
Associate Biomodeling Scientist, Cellworks Life
- Constructed mechanistic models of immunological signaling in macrophages, incorporating 20+ interconnected pathways and gene-regulatory networks.
- Developed systematic validation frameworks through perturbation analyses, establishing foundational methodology for the organization's computational-biology platform.
Education
Western Governors University
Capstone Project: Regression and Clustering Analysis of Seoul Bike Sharing Demand
This M.S. program integrates the application of data analysis techniques with real-world problem-solving skills. It focuses on developing advanced expertise in data acquisition, cleaning, and exploratory analysis, along with predictive modeling and data mining. The program emphasizes translating data into actionable insights through reporting and representation.
Curriculum: Data Analytics Journey, Data Acquisition, Data Cleaning, Exploratory Data Analysis, Predictive Modeling, Data Mining I & II, Representation and Reporting, Advanced Data Acquisition, Advanced Data Analytics, and Data Analytics Graduate Capstone.
Sikkim Manipal University
Project: Study on the Importance of HRM in Project Management at Pathfinder Global Solutions.
This MBA program helped bring together the technological problem-solving ability of engineering with the organizational, administrative, legal, and planning abilities of management.
Curriculum: Management Process and Organization Behavior, Business Communication, Statistics for Management, Human Resource Management, Production and Operation Management, Financial Management, Marketing Management, Management Information Systems, Operations Research, Project Management, Research Methodology, Project Planning and Scheduling, Project Finance and Budgeting, Managing Human Resource in Projects, Strategic Management and Business Policy, International Business Management, Project Risk Management, Project Quality Management, and Contracts Management in Projects.
Bharathidasan University
Project: Biochemical and Microbiological Analysis of Effluent from Dairy Milk Plant [Environmental Engineering]
This educational experience facilitated using mathematical and computational tools to comprehend and manipulate biological systems, focusing on practical applications in biotechnology and environmental management.
Curriculum: Mathematical modeling to various areas of biology and related fields, including biochemistry, cell biology, molecular biology and genetics, microbiology, biochemical and bioprocess engineering, enzyme engineering, genetic engineering, immunology, plant and animal biotechnology, bio-physics, bio-ethics and bio-safety, bio-informatics, protein engineering, and environmental engineering. Also covers Programming in C & C++, Numerical Techniques & Probability Theory, Chemical Reaction Engineering, and Instrumentation Laboratory.
Skills
Biology & Medicine
Data Science & Computational Biology
Leadership & Management
Programming & Tools
ML Frameworks & Behavioral Tools
Research Focus
Software & Open-Source
MyVivarium — first-authored, open-source cloud platform for lab animal colony management with real-time ambient sensing, developed in collaboration with the Sathyanesan Lab (University of Dayton). Published in Computational and Structural Biotechnology Journal (2025) and deployed at 3 partner laboratories supporting 200+ animals, with ongoing development for broader experimental and husbandry needs. Additional open tools are available on the Tools page and on GitHub.
Mentoring
Mentored 10+ junior scientists and engineers across Cellworks Life and Digirobi Solutions, and designed and delivered 25+ training sessions in computational biology, data analytics, and modeling methodology.
Certifications & Training
- Cancer Biology — Specialization — Johns Hopkins University
- Drug Development Product Management — Specialization — University of California San Diego
- Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines — Rice University
- Immunology: Adaptive Immune System — Imperial College London
- Immunology: Innate Immune System — Imperial College London
- Basic Principles of Cell Signaling — KAIST
- Fundamentals of Immunology: Innate Immunity and B-Cell Function — Rice University
- Immunology: Immune Failures and Cancer Immunology — Imperial College London
- Design and Interpretation of Clinical Trials — Johns Hopkins University
- Traditional Herbal Medicine in Supportive Cancer Care: From Alternative to Integrative — Technion
- Genomic and Precision Medicine — University of California, San Francisco
- Ethical and Social Challenges of Genomic and Precision Medicine — University of California, San Francisco
Professional Memberships
- International Society for Computational Biology (ISCB) — 2024–Present
Languages
English (fluent) · Tamil (native) · Kannada (conversational)
Acknowledgements
Contributions acknowledged in peer-reviewed publications:
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Acknowledgement
A genomics-informed computational biology platform prospectively predicts treatment outcomes in AML. Jun 20, 2019. Shih, A. H., Betts, C., Yang, F. C., Engstrom, L. D., ..., & Bhagwat, S. V. Blood Advances, 3(12), 1837–1847. doi:10.1182/bloodadvances.2018028316
"The authors thank … Robinson Vidva for creating the visual abstract and figures."
References
Professional references are available on request.
Download CV
Robinson Vidva — Curriculum Vitae
Full CV in PDF format.