Opening General Session + College of SIIM Fellows Induction

Wed, Jun 10, 2026
8:00 AM - 9:30 AM ET
General Session + Virtual Live Stream
Pittsburgh Ballroom B

Share For Healthcare: Privacy-Preserving, Open Access to Data and Models Is Critical in the Age of AI 

John Dickerson, PhD

Chief Executive Officer
Mozilla.ai

Session Number: 2001

Following the Opening General Session Keynote lecture, the Society will induct the 2026 SIIM Fellows. Founded in 2000, the College of SIIM Fellows The College of SIIM Fellows (COSF) has inducted individual(s) who have significantly contributed to SIIM and its mission. Fellows of SIIM are nominated and elected by the College in recognition of their achievements and accomplishments in medical imaging, and for their demonstrated personal commitment to improving patient care. All Fellows are active members of SIIM and are the leading thinkers and innovators within the imaging informatics community. The FSIIM distinction is awarded at the SIIM Annual Meeting. 

A young man smiling in a cream-colored sweater at the SIIM Annual Meeting, a leading event in medical imaging and informatics.

Privacy-preserving data sharing can unlock the power of open models and accelerate imaging informatics."

Biography

John Dickerson is CEO of Mozilla.ai. He brings a wealth of experience in scaling startups, developing practical and robust machine learning methods, deploying AI-based products into the enterprise, as well as providing broad AI/ML thought leadership in industry, academia, non-profits, and governments. 

Previously, John was co-founder and Chief Scientist at Arthur as well as a tenured professor at the University of Maryland in the Washington, DC area. 

  • At Arthur, he helped scale the company to 50+ employees, a presence in NYC, DC, and the US west coast, and $55 million raised from seed through Series B financing. Arthur develops industry-leading technology in data drift detection and mitigation, bias detection and mitigation, GenAI firewall features such as jailbreak and PII leakage detection, and explainability. Arthur’s ML-based products are deployed at some of the largest regulated enterprises in the US and worldwide. 
  • At Maryland, he founded and led a large lab researching the intersection of ML and economics, with a core focus of designing incentives that promote “good” participation in complex systems. That lab produced 16 PhD graduates and secured $10M+ in funding from NIST, NSA, DARPA, ARPA-E, NIH, NSF – including an NSF CAREER award – in addition to industry funding.

He has worked extensively on theoretical and empirical approaches to organ exchange where his work has set US-wide policy; worldwide blood donation markets with Meta; game-theoretic approaches to counter-terrorism and negotiation, where his models have been deployed; and market design problems in industry (e.g., online advertising) through various startups. 

John holds a BS in mathematics and a BS in computer science from the University of Maryland, as well as a PhD in computer science from Carnegie Mellon University. He splits his time between Seattle, Washington, USA and Western Europe. 

Learning Topics 

Artificial Intelligence 

Specialties

Cardiology
Dermatology
Ophthalmology
Radiology
Pathology

Credit Types

ACCME-MD
ARRT-RT
CAMPEP-MPCEC
SIIM IIP-CIIP