Clinical Science · AI Governance · Consumer Health

Olga Lavinda, PhD

Biomedical scientist building evidence-based health intelligence. From molecular pharmacology to deployed AI, with published methodology at every layer.

NIH Kirschstein NRSA Fellow · National Institutes of Health
Eugene M. Farber Award · Society for Investigative Dermatology
CEO, Health AI LLC · Published Author · Research Faculty
Olga Lavinda, PhD
17
Publications
6
Awards
2x
NIH Fellow
8
Domains
50+
Countries

"I turn clinical evidence into health products people can use. Then I publish the methodology so you can verify it."

Expertise

Areas of deep expertise.

AI Validation & Governance

RIGOR framework. Healthcare, automotive, municipal. FDA digital health. EU AI Act. Post-deployment monitoring.

Industrial AI & Computer Vision

Tire sidewall extraction. Dual-VLM consensus architecture. Edge deployment. NHTSA integration. Published methodology.

Ingredient Safety Intelligence

Multi-dimensional safety databases. Evidence tiers. Published methodology with DOIs. API design. Consumer product safety at scale.

Histamine & Inflammatory Pathways

hDAO enzyme modeling. Mast cell activation. Dietary trigger mapping. HS and rosacea connection. DAO deficiency prevalence.

Dermatology & Skincare Science

Tyrosinase-TYRP1-TYRP2 melanogenic complex. Pregnancy and breastfeeding skincare safety. OCA genotype-phenotype.

Maternal & Pediatric Health

Lactation pharmacology. CMPA cross-reactivity. Infant formula analysis. Postpartum safety. 18 formulas, 15 dimensions.

Computational Biochemistry

AlphaFold modeling. Molecular docking. In silico mutagenesis. Polypharmacology. Chemometrics and analytical validation.

AI Literacy & Education

Prompt Ladder methodology. IRB-filed study. Faculty workshop design. ACS CHED 2026.

Health AI was selected over Amazon, Microsoft, IBM, SAS, NTT Data, Dell, and Oracle for a major enterprise AI governance engagement.

Research

Published author and speaker.

Offline Tire Specification Extraction from Video Using Dual Vision Language Model Consensus
Dual-VLM consensus pipeline for industrial tire inspection. 90.1% field extraction accuracy. NHTSA plant code integration. Lavinda & Meche, 2026.
Clarity Ingredient Safety Engine: API & Data Dictionary
Scan 4M+ products across food, supplements, skincare, and medications. Every ingredient is evidence-graded across 25+ safety dimensions. Published methodology with DOIs.
Beta-Glucan as a Galactagogue: A Critical Review
Systematic review of galactagogue claims vs clinical evidence.
CMPA Formula Comparative Analysis
18 infant formulas, 15 dimensions. Six compounding factors identified.
Earlier work: tyrosinase-TYRP1-TYRP2 melanogenic complex, GCN2 kinase inhibitors, indigo and Tyrian purple crystallography.
Full publication list →
Products

Research. Deployed.

Clarity
Research-backed exposure intelligence for maternal and infant health. Scan 4M+ products across food, supplements, skincare, and medications. Every ingredient is evidence-graded across 25+ safety dimensions. Published methodology with DOIs. Database-first architecture.
View system →
Factory OS
Tire intelligence platform. Optical AI inspection from smartphone photos. Published methodology. Enterprise pilot.
View platform →Open tire scanner →
RIGOR Framework
AI validation lifecycle for regulated industries. Healthcare, automotive, municipal. Enterprise deployed.
View framework →
Health AI Tools
13 condition-specific tracking tools. Histamine, MCAS, ADHD food dyes, fertility, postpartum. Powered by Clarity data.
View tools →
CityOS
City-scale AI governance. Emergency response, traffic systems, municipal infrastructure.
View system →
Prompt Ladder
AI literacy curriculum for higher education. Discipline-specific. IRB-filed study. ACS CHED 2026.
View program →
Intelligence for Parents
Data-driven tools for families. School selection, child safety, product analysis. 1,843 NYC public schools.
Visit →
Affiliations
Coalition for Health AI (CHAI) American Chemical Society Women in AI Society for Investigative Dermatology

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Strategic advisory · Clinical AI validation · Evidence architecture · Research collaboration · Partnerships.

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