Oladimeji
Farri

MBBS · PhD

AI Scientist. Physician. Tech Executive.

I am an AI scientist and technology executive at the convergence of medicine and machine intelligence. For over 15 years, I have designed, built, and scaled AI systems — from clinical NLP and LLM applications to multimodal diagnostic models — that operate in the most demanding environments in healthcare: regulated, high-stakes, and patient-facing.

My career spans senior R&D and executive leadership at global health technology companies, where I have defined enterprise AI strategy, directed globally distributed teams, and driven innovations from research prototype to commercial product. I hold 20+ issued U.S. patents and 70+ peer-reviewed publications, and have contributed to landmark texts on Clinical NLP and AI in healthcare. My conviction: the highest-value AI work in health is not the algorithm — it is the infrastructure of trust, safety, and measurability built around it.

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0+ Years in Healthcare AI

0+ Peer-Reviewed Publications

0+ Issued U.S. Patents

0+ Invention Disclosures

Career Journey

Professional Experience

Click any role to explore details and measurable impact

Own enterprise AI and analytics strategy across a multi-solution patient-engagement platform — InPatient TV, Camera-based engagement, and Post-discharge support — deployed at 150+ health systems.
Defined and drive a multi-year AI roadmap spanning a Nurse Rounding AI assistant, AI-driven personalized care plans, ROI analytics, and business-productivity solutions, balancing platform scale with segment-specific needs.
Established NIST-based Responsible AI & Risk Management Framework with full model-lifecycle controls for regulated healthcare use.
Built and lead a global AI team across the U.S. and India in collaboration with engineering, product, and commercial leaders.
Partner with sales, marketing, and customer-success on positioning, value messaging, and last-mile adoption.

150+ Health Systems

4 AI Roadmap Domains

NIST AI Governance Framework

Owned applied AI/NLP portfolio spanning Diagnostics, Imaging, and Customer Service — setting multi-year roadmaps and translating competitive insights into prioritized, fundable opportunities.
Diagnostics / Core Lab: Delivered anomaly-detection models for Atellica analyzers that flag unplanned service events ~48 hours in advance, improving lab uptime and lowering service cost.
Customer Service: Built RSC Assistant (NLP decision-support) that displaced aquant.io, piloted with 30+ experts at ≥5% higher service-value accuracy, and launched as a cloud application in North America.
Imaging: Shipped NLP solution for Medicalis cutting physician data-entry burden, adopted over Linguamatics, and piloted in the cloud at UCSF.
Pursued value into adjacent markets: LLM scientific-literature application for Varian Medical Affairs, oncology registry enrichment (auto-populated TNM staging), and EHR + Imaging integration.
Directed AI lifecycle management (instruction-tuning/LoRA, scalable serving, monitoring) across globally distributed teams in the U.S., India, Germany, and Romania.

                  
                  $1.2M+
                  Annual Savings (RSC Assistant)

                  
                  54%
                  Recall Improvement (Atellica)

2× Competitor Displacements

Led AI-lab strategy for enterprise analytics and market expansion of TASY EMR and Integrated Radiology Solutions, aligning innovation to commercial growth.
Built multimodal AI systems for real-world clinical decision support and workflow automation.
Fostered deep technical collaborations with premier academic institutions (MIT CSAIL, Stanford University, Pontifical Catholic University of Parana, Brazil) and industrial consortia to accelerate AI innovations.
Managed multi-million research budgets and multi-sector initiatives; filed IP and drove thought leadership around NLP + ontology-driven approaches.

Multi-M Research Budget Managed

3 Elite Academic Partnerships

Developed scalable NLP platforms adopted in enterprise healthcare products across global markets, supporting clinical documentation, summarization, and decision support under regulated requirements.
Guided internal research teams through the transition from classical statistical models to modern deep learning methodologies for text summarization and clinical documentation.
Provided peer mentorship to junior researchers, fostering a culture of rigorous scientific inquiry and high-quality publication output.

Global NLP Platforms Deployed

DL Classical → Deep Learning Transition

Investigated fundamental methodologies for EMR data synthesis, clinical workflow optimization, and algorithmic decision support.
Developed early-stage predictive and linguistic models aimed at improving documentation efficiency and clinical data utility.

Ph.D. Health Informatics, 2012

Core Competencies

Areas of Expertise

Deep domain knowledge spanning strategy, research, and execution

Global Portfolio Strategy

Multi-year technology roadmaps, lifecycle ownership, and P&L mindset across diagnostics, core lab, and healthcare informatics portfolios.

AI / Advanced Analytics & NLP

End-to-end AI development: instruction-tuning, LoRA fine-tuning, LLM applications, NLP pipelines, predictive models, and production-grade serving and monitoring.

Imaging & Core Lab AI

ML-driven anomaly detection and predictive maintenance for core lab analyzers; NLP and multimodal AI for imaging informatics, radiology workflow automation, and clinical documentation across enterprise environments.

Interoperability & EHR Data

EHR-derived data platforms, HL7 FHIR, clinical documentation systems, and multi-modal clinical data integration across enterprise environments.

AI Governance & Ethics

NIST-based Responsible AI frameworks, model-lifecycle controls, risk management for regulated healthcare AI, and clinical AI safety evaluation.

Global Team Leadership

Building and leading matrixed, cross-functional teams across U.S., India, Germany, and Romania; mentoring researchers and driving high-output scientific cultures.

Commercialization & GTM

Translating research into market-ready products; partnering with sales, marketing, regulatory, legal, and manufacturing to win the last mile of adoption.

Platform Architecture

Cloud-native AI platform design, scalable data infrastructure, multi-solution analytics architectures, and adjacent market expansion.

Research, Innovation & Recognition

Scientific Leadership

Contributing to the global body of knowledge in AI, healthcare informatics, and clinical NLP — recognized by leading conferences and institutions worldwide

70+

Peer-Reviewed Publications

20+

Issued U.S. Patents

120+

Invention Disclosures

Books & Book Chapters

Contributor — "Clinical NLP with Deep Learning"

Springer

Co-author — "Healthcare in the Age of LLMs: Perspectives on Radiology"

Taylor & Francis

Journal & Conference Reviewing

ACL EMNLP IJCAI AMIA Artificial Intelligence in Medicine

Full Publication List

Google Scholar Semantic Scholar DBLP

Awards & Honors

2025

IAAI Deployed Application Award

AAAI Conference on Artificial Intelligence

2023

Best Paper Award

Information Technology and Quantitative Management Conference, Oxford, UK

2017

Breakthrough Innovation Award

Philips Healthworks, Cambridge, MA

2017

Featured Presentation

3rd Annual Re.Work Deep Learning in Healthcare Summit

2013

Outstanding Achievement Award

Philips Research North America

2012

Third Place — Martin Epstein & Student Paper Awards

American Medical Informatics Association (AMIA)

2011

Research Support Grant Recipient

Institute for Health Informatics, University of Minnesota

2010

Scholarship Award

Health Information and Management Systems Society (HIMSS), MN Chapter

2010

Best Student Paper Award

Advances for Health Informatics Conference, Canada

Education