Sean Khozin, MD, MPH — Physician-Scientist, Oncologist & AI Innovator

About

At the Nexus of Medicine, Technology & AI

Dr. Sean Khozin is a physician-scientist and oncologist, internationally recognized for his leadership in leveraging data science, AI, machine learning, and real-world evidence to drive innovation in biomedical research, with a particular emphasis on oncology drug development.

A founding member of the FDA Oncology Center of Excellence, Dr. Khozin escaped the revolution in Iran and found his way to the United States, harmonizing his passion for patients and data into a career spanning startups, the FDA, Johnson & Johnson, and pioneering AI ventures — all while pursuing his love of music.

His work bridges the gap between cutting-edge technology and clinical care, with a focus on harnessing advanced analytics and AI to accelerate drug discovery, optimize therapeutic development, and improve patient outcomes.

79+
Publications

5,800+
Citations

18,000+
Research Reads

Current Roles

Leading at the Frontier

CEO Roundtable on Cancer & Project Data Sphere

Chief Executive Officer

Directing public health programs and pioneering initiatives focused on the development of AI foundation models in oncology.

Phyusion Bio

Founder

Subsidiary of Phyusion

Advancing innovations at the nexus of biology, technology, and AI to accelerate drug discovery and optimize therapeutic development.

Massachusetts Institute of Technology

Research Affiliate

Focusing on novel applications of AI and machine learning technologies to accelerate drug discovery and optimize therapeutic development strategies.

Precision Signals

Host

A podcast from the CEO Roundtable on Cancer, examining the hard problems in oncology and exploring practical solutions that connect science to patient impact.

YouTube

Career

A Journey of Impact

Present

CEO, CEO Roundtable on Cancer & Project Data Sphere

Directing public health programs and pioneering AI foundation model initiatives in oncology.

Present

Founder, Phyusion Bio & Research Affiliate, MIT

Novel applications of AI/ML to accelerate drug discovery and optimize therapeutic development.

Led the restructuring and acquisition of the precision oncology enterprise leveraging real-world data and analytics.

Implemented cutting-edge data science solutions supporting the development of innovative medicines and vaccines.

Established the FDA's first data science and technology incubator under special federal authorities.

Helped build and launch the FDA's Oncology Center of Excellence, shaping the agency's approach to oncology drug regulation and review.

Conducted clinical research in oncology at the U.S. National Cancer Institute.

Pioneering TechBio company developing telemedicine, point-of-care data visualization, and advanced analytical systems.

Training

Fellowship, National Cancer Institute

Board-certified oncologist. Fellowship training following internal medicine residency.

Education

MD & MPH

Doctor of Medicine, University of Maryland School of Medicine. Master of Public Health, George Washington University. BS, University of Maryland.

Initiative

FDA INFORMED

Information Exchange and Data Transformation (INFORMED) was launched in 2015 at the U.S. FDA with special authorities from the Department of Health and Human Services.

As a technology and data science incubator, INFORMED was designed as a public-private collaboration sandbox to de-risk innovations with transformative potential in biomedical research and therapeutic development.

The effort was instrumental in establishing the foundation for the use of real-world evidence, digital health solutions, and AI/ML in drug development and regulatory decision making.

Real-World Evidence

Pioneered frameworks for integrating real-world data into regulatory decision making.

Digital Health

Advanced digital health solutions including smart devices and decentralized clinical trials.

AI & Machine Learning

Established foundations for AI/ML adoption across the product life cycle.

References

From Big Data to Smart Data: FDA's INFORMED Initiative Nature Reviews Drug Discovery, 2017 INFORMED: An Incubator at the US FDA for Driving Innovations in Data Science and Agile Technology Nature Reviews Drug Discovery, 2018

Research

Selected Research & Publications

NEJM AI

The Use of Artificial Intelligence for Cancer Therapeutic Decision-Making

Exploring AI-driven approaches to optimize treatment strategies in oncology.

Clinical and Translational Science

AI for Cancer Classification

How advances in machine learning and deep learning offer promising avenues for reclassifying cancers through comprehensive integration of molecular, histopathological, imaging, and clinical characteristics.

Journal of Clinical Oncology

Clinical Trial Endpoints in NSCLC

Trial-level and patient-level associations between overall response rate, progression-free survival, and overall survival in advanced non-small cell lung cancer.

The Oncologist

Real-World Evidence in Oncology

Characteristics of real-world metastatic NSCLC patients and the use of real-world evidence to complement clinical trial data for personalization of care.

Springer Nature

TRIUMPH Think Tank: Real-World Evidence in Breast Cancer

A multidisciplinary think tank advancing acceptance and use of real-world evidence in treatment decision-making for breast cancer.

Research Article

The Rise of Large Language Models in Clinical Trial Data Analysis

Evaluating whether LLMs can match clinical and data science experts in analyzing clinical trial data.

Journal of the National Cancer Institute

Real-World Data for Clinical Evidence Generation in Oncology

How recent technological advances and a dynamic policy landscape have created fertile ground for using real-world data to improve clinical evidence generation.

The Wall Street Journal

Digital Health & Real-World Trials

On how real-world clinical trials and digital health tools can personalize medical treatments and transform drug development.

Clinical Drug Trials May Be Coming to Your Doctor's Office Open Your App and Say Ahh

Google Scholar Profile ResearchGate Profile

Music

Jazz Meets Classical in Suspended Time

Open in Spotify

Featured Essay

Physiological Harmony and Dissonance

The Confluence of Math, Music, and Medicine

How physiological state changes can be represented musically — the composition Perpetual Drift proposes that transitions in human physiology, detectable through computational methods, can also be heard as shifts in tonality and dissonance.

Read on Substack →

Leadership

Board Appointments

Society for Translational Oncology

Alliance for AI in Healthcare

Digital Medicine Society

Cytometric Therapeutics

Connect

Get in Touch

Interested in collaborating on research, speaking engagements, or advancing AI-driven innovation in healthcare?

LinkedIn X (Twitter) Phyusion Bio Substack Google Scholar

Sean Khozin