Felipe Ocampo Osorio

About

I am a Biomedical Engineer with a strategic and product-oriented mindset, bridging clinical practice and analytics with academic leadership experience. I have a proven track record in developing, implementing, and scaling artificial intelligence initiatives in healthcare. As a bridge and delivery leader, I specialize in translating clinical and operational needs into deployable AI-enabled products, aligning key stakeholders across clinical services and engineering. I advance healthcare AI through rigorous research, results-driven execution, and strategic leadership.

Experience

1. Data Scientist — Artificial Intelligence Unit

   Jul 2023 — Present
   Hospital Universitario Fundación Valle del Lili · Colombia
   • Lead the development of AI-enabled clinical and operational products, from problem discovery through implementation into real-world hospital workflows.
   • Develop and implement predictive and generative AI solutions supporting clinical decision-making and operational efficiency.
   • Apply data analytics to identify patterns that inform strategic decision-making and portfolio prioritization.
   • Establish agile delivery practices to accelerate iteration cycles and align clinical services, engineering, and leadership.

2. Data Scientist

   Aug 2025 — Present
   MIT Critical Data · Harvard–MIT Health Sciences and Technology (HST)
   • Design and validate AI models in clinical environments, collaborating with multidisciplinary teams on translational projects.
   • Lead work on Responsible AI: bias audits, subgroup fairness evaluation, mitigation strategies, and equity/regulatory considerations for healthcare AI.

3. Adjunct Professor

   Feb 2025 — Present
   Icesi University · Colombia
   • Design and deliver graduate-level curriculum in Data Science for Epidemiology and applied AI/data science programs.
   • Supervise and mentor graduate students as thesis advisor for research and applied capstone projects.

4. Biomedical Research Lead

   Jul 2022 — Jul 2023
   Innvestiga · Universidad Nacional de Colombia
   • Managed R&D&I project formulation and execution, including budgeting and collaboration with healthcare-sector companies.
   • Built funding proposals for national and international calls; coordinated student teams supporting delivery.

Main Tech Developments

• Clinical Decision Support System — Hypertensive Disorders of Pregnancy

  AI-based system for the diagnosis and management of hypertensive disorders of pregnancy, integrating clinical data to support physicians at the point of care.

• Clinical Chatbot — Hypertensive Disorders of Pregnancy

  Conversational AI supporting clinical consultation and patient guidance in the care of hypertensive disorders of pregnancy.

• No-Show Prediction System

  Machine learning model to predict medical appointment no-shows, enabling scheduling optimization and resource planning across hospital services.

• Recambio — Surgical Duration Prediction

  Software to quantify and predict surgical procedure durations, enabling operating room planning and operational efficiency.

• Clinical Trial Recruitment Chatbot

  Patient screening and pre-selection chatbot aligned with clinical trial recruitment protocols, reducing manual screening burden.

• Curiosity & Humility Framework for AI-CDSS

  Conceptual and practical framework for AI-driven Clinical Decision Support Systems, supporting safe and responsible clinical adoption.

Publications

Full list on Google Scholar.

Education

1. MSc in Engineering — Intelligent Systems

   2023 — 2025

   Universidad Autónoma de Manizales · Colombia

   Honors · Laureated Thesis "Prediction of medical no-shows for internal medicine using machine learning models." Online

2. BSc in Biomedical Engineering

   2017 — 2022

   Universidad Autónoma de Manizales · Colombia

Skills