Summary
Arkadiusz Sitek is an AI-driven healthcare researcher and Associate Investigator at Massachusetts General Hospital with 11 years of experience translating advanced machine learning into clinical impact across diagnostic imaging, biomarker discovery, clinical decision support, and telemedicine. He combines deep academic training (PhD in Physics) with leadership experience growing a specialized AI-in-medicine institute from 11 to 70 staff and forging industry and clinical partnerships across Europe and the U.S. His work spans bench-to-bedside productization—co-developing validated CT-based liver lesion classifiers at IBM and mentoring graduate students and postdocs while serving on editorial boards for leading medical imaging journals. Based in Greater Boston and affiliated with Harvard Medical School, he bridges multidisciplinary teams of clinicians, data scientists, and engineers to deploy robust, validated AI solutions. Notably, he pairs theoretical rigor with practical deployment experience across modalities (US, X-ray, MRI, CT) and novel telemedicine/VR interventions, reflecting a rare combination of physics, engineering, and clinical translation.
11 years of coding experience
24 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at The University of British Columbia
Master of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at University of Warsaw
Matura Mathematics/Physics, Matura Mathematics/Physics at LIII LO PAX Warsaw
Polish