Biomedical data scientist with more than 16 years of experience in multi-omics analysis, machine learning, and data analytics pipelines for computational oncology, immuno-oncology, drug discovery, and pediatric neurodevelopment. Integrates mutational, gene-expression, imaging, and clinical data to identify biomarkers of treatment response. Founded and led a computational biology consultancy and managed teams of more than 10 scientists. Author of 7 peer-reviewed journal articles, 2 preprints, and 14 conference abstracts (150+ citations); named inventor on 3 granted patents and 3 published applications; developer of 5 open-source tools, including a laboratory platform in use at three laboratories.
Work experience
Research Technician (Bioinformatics), Children's National Hospital
- Curate and quality-control de-identified clinical research datasets integrating electronic health record (EHR), imaging, laboratory, metabolomic, and transcriptomic data for two preterm-infant studies: cerebellar development after preterm birth (178 infants) and necrotizing enterocolitis and brain injury (181 infants).
- Perform statistical analyses relating clinical exposures to brain development in those cohorts, including more than 1,000 serial cranial ultrasound scans, using linear, mixed-effects, segmented, logistic, and modified Poisson models to evaluate cerebellar growth, MRI findings, and neurodevelopmental outcomes, with stratification and sensitivity analyses.
- Build and maintain reproducible RNA-seq pipelines for mouse and human cerebellar studies of prematurity insults, necrotizing enterocolitis, and sudden infant death syndrome; perform differential expression, pathway, and Gene Ontology (GO) enrichment analyses.
- Quantify rodent behavior with DeepLabCut and B-SOiD in a mouse model of prematurity insults (maternal immune activation and neonatal hypoxia) and its early-rehabilitation extension. Develop statistical and machine-learning models on Erasmus Ladder motor-coordination data from 160 preterm mice.
- Support an astrocytoma immunotherapy project in another laboratory in the center with RNA-seq analysis.
- Develop reproducible figure and table code, verify manuscripts against deposited data, prepare sequencing-data repository submissions, and support manuscript preparation and revision.
- Co-authored a review on immune modulation in skin cancer, contributing the cancer-immunology content and figures (Frontiers in Immunology, 2025).
Career Break and Professional Development
- Relocated from India to the United States; completed an accelerated M.S. in Data Analytics (WGU, 2025) and the Imperial College London immunology course series (Coursera, 2023).
- Expanded software engineering skills into full-stack web development, Linux server administration, and cloud deployment, later used to build the open-source tools.
Founder & Lead Computational Biologist, Digirobi Solutions
- Founded and led an independent computational biology consultancy, delivering commercial and academic engagements in cancer therapeutics and research software.
- Assembled cancer genomics, drug, and nutrition databases from public and proprietary sources for a nutrigenomics platform and co-invented a cancer combination therapy covered by granted US and European patents.
- Developed a mechanistic model of Src kinase signaling in neonatal hypoxic neuronal injury (MATLAB SimBiology, sensitivity analysis), which resulted in a peer-reviewed paper (2022).
- Designed and built MyVivarium, an open-source colony-management platform with IoT sensing, now used in three laboratories, and led its publication (2025).
Senior Lead Scientist, Cellworks Life
- Led a team of more than 10 scientists developing computational precision-medicine platforms for oncology, and set the standards for model reproducibility and validation.
- Using TCGA, MSK-IMPACT, and proprietary genomic, transcriptomic, and pharmacological data, designed and validated patient-specific drug-response models across solid and hematologic cancers. In the Beat AML study, the models' predicted sensitivity or resistance to a BET inhibitor agreed with the ex vivo IC50 classification for 93 of 100 acute myeloid leukemia (AML) patients (sensitivity 97.7 percent, specificity 64.3 percent; Leukemia Research, 2019). The same approach was applied to venetoclax, dasatinib, CDK4/6 and IDH inhibitors, and to chemotherapy response in pediatric AML (Blood, 2016 - 2018).
- Developed multi-cell computational models of epithelial, dendritic, and T cells whose predicted chemokine and cytokine responses matched laboratory co-culture measurements for 15 of 20 readouts after LPS stimulation and 16 of 20 after Pam3CSK4 stimulation (Scientific Reports, 2019).
- Assembled a cell-line resource (more than 500 lines with IC50 profiles) and more than 15 curated clinical datasets used to train, validate, and benchmark the models.
Lead Scientist, Cellworks Life
- Compiled a knowledge base of about 200 compounds covering targets, mechanisms, pharmacokinetics, and resistance, and developed a computational drug model for each compound within the disease platform.
- Co-invented the PTEN/TP53-targeted cancer combination therapy (US 10,098,880 B2), drafting the claims and handling prosecution through examiner objections.
- Delivered internal training on computational biology, immunology, and data analytics, evaluated therapeutic candidates with pharmaceutical partners, and mentored junior scientists.
Associate Lead Scientist, Cellworks Life
- Built and validated an eight-cell-type systems biology model of rheumatoid arthritis against in vivo data, identified two synergistic repurposed drug combinations, and showed that one reduced disease progression in a murine collagen-induced arthritis model.
- Contributed to peer-reviewed work on inflammatory skin and oral mucosal disease with collaborators, and to two patent applications and American College of Rheumatology presentations.
- Established the company’s quality standards for model development and validation.
Associate Biomodeling Scientist, Cellworks Life
- Built mechanistic models of immune signaling in macrophages spanning more than 20 pathways and gene-regulatory networks and designed the perturbation-based validation approach adopted across the modeling platform.
Education
Western Governors University
Capstone Project: Regression and Clustering Analysis of Seoul Bike Sharing Demand
Graduate program in applied data analytics — data acquisition and cleaning, exploratory analysis, predictive modeling, and data mining, with an emphasis on reporting and visualization.
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.
MBA with a project-management focus — combining management, planning, and operations with a technical background.
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]
Undergraduate engineering program applying mathematical and computational tools to biological systems, with practical work in biotechnology and environmental engineering.
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
Clinical Data & Compliance
Leadership & Management
Programming & Tools
ML Frameworks & Behavioral Tools
AI-assisted research
Research focus
Software & open-source
MyVivarium (2021–present; v2 in deployment): open-source cloud platform for lab-animal colony management with QR cage cards and IoT sensing (PHP, MySQL, JavaScript); in use at three laboratories (200+ animals); published in Computational and Structural Biotechnology Journal (2025); version 2 (Docker, Playwright test suite) under staged deployment at the University of Dayton (2026). enrichlite (2026): in-browser gene-set over-representation analysis. drugtargets (2026): drug-target exploration and repurposing tool on Open Targets and openFDA. DrugInteract (2026): client-side FDA drug-interaction reference. neokine (2026): client-side MediaPipe pose visualization with kinematics. Details and source on the Tools page and on GitHub.
Mentoring
Mentored more than 25 junior scientists and engineers at Cellworks Life and Digirobi Solutions (2014–2022), and designed and delivered more than 15 internal training sessions on computational biology, data analytics, and modeling methods (2014–2019).
Certifications & training
- Cancer Biology — Specialization 2018 — Johns Hopkins University
- Drug Development Product Management — Specialization 2017 — University of California San Diego
- Fundamentals of Immunology: Complement, MHC I and II, T Cells, and Cytokines 2021 — Rice University
- Immunology: Adaptive Immune System 2023 — Imperial College London
- Immunology: Innate Immune System 2023 — Imperial College London
- Basic Principles of Cell Signaling 2021 — KAIST
- Fundamentals of Immunology: Innate Immunity and B-Cell Function 2020 — Rice University
- Immunology: Immune Failures and Cancer Immunology 2023 — Imperial College London
- Design and Interpretation of Clinical Trials 2019 — Johns Hopkins University
- Traditional Herbal Medicine in Supportive Cancer Care: From Alternative to Integrative 2020 — Technion
- Genomic and Precision Medicine 2017 — University of California, San Francisco
- Ethical and Social Challenges of Genomic and Precision Medicine 2017 — University of California, San Francisco
- Advanced Data Modeling 2025
- Data Analytics Fundamentals 2024
- Data Preparation 2024
Professional memberships
- International Society for Computational Biology (ISCB) — 2024–Present
Languages
English (fluent) · Tamil (native)
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.