Oladimeji
Farri

Physician. Scientist. Tech Executive.

Expert at building and scaling AI, informatics, and digital-health offerings across enterprise healthcare. I bridge clinical medicine and machine intelligence — turning AI ambition into measurable clinical and operational reality.

Contributor, Clinical NLP with Deep Learning (Springer)
Co-author, Healthcare in the Age of LLMs: Perspectives on Radiology (Taylor & Francis)
Invited Speaker at Global AI & Healthcare Conferences
Reviewer: ACL, EMNLP, IJCAI, AMIA, Artificial Intelligence in Medicine

Ph.D. Health Informatics · University of Minnesota

MBBS · University of Ibadan

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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.

Diagnostics & Core Lab

Deep fluency with Atellica and core lab instrument data, anomaly detection, predictive service models, and healthcare interoperability.

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 & Scholarship

Scientific Leadership

Contributing to the global body of knowledge in AI, healthcare informatics, and clinical NLP

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

Education

2012

Doctor of Philosophy (Ph.D.), Health Informatics

University of Minnesota, Twin Cities

2005

Bachelor of Medicine, Bachelor of Surgery (MBBS)

University of Ibadan, Nigeria

Oladimeji Farri