President, Academic Medical Centers, Mass General Brigham
Mass General Trustees Professor of Emergency Medicine at Harvard Medical School

Dr. David F. M. Brown is President, Academic Medical Centers (AMC), Mass General Brigham (MGB), and the Mass General Trustees Professor of Emergency Medicine at Harvard Medical School. As President, Dr. Brown oversees the clinical, research and academic, and philanthropic missions of MGB’s two world-class AMCs: Brigham and Women’s Hospital (BWH) and Massachusetts General Hospital (MGH). Dr. Brown also sits on the boards of trustees of both hospitals.

Dr. Brown previously served as President of Massachusetts General Hospital from 2021 to 2024. He served as interim President and CEO of Cooley Dickinson Health Care in 2021 and as Chair of the Department of Emergency Medicine at Massachusetts General Hospital from 2013 to 2021.

An accomplished clinician, scholar, teacher, mentor, and administrator, Dr. Brown is the author of more than 250 peer-reviewed articles, reviews, and chapters. He served as the inaugural editor-in-chief of Scientific American: Emergency Medicine and is the author of two textbooks. He has also won national and international recognition for teaching, mentoring, and research.

Dr. Brown is a Phi Beta Kappa graduate of Princeton University and received his MD from Columbia University College of Physicians & Surgeons, where he was a member of Alpha Omega Alpha. He trained at MGH and is a diplomate of both the American Board of Emergency Medicine and the American Board of Internal Medicine. He is also a fellow of the American College of Emergency Physicians and the American Academy of Emergency Medicine.

Chief Data Science Officer and Chief Imaging Information Officer, Mass General Brigham
Vice Chairman of Radiology – Informatics, Massachusetts General Hospital and Brigham and Women’s Hospital
Co-Chair, Mass General Brigham AI Imaging AI Governance Committee

Dr. Keith J. Dreyer is Chief Data Science Officer and Chief Imaging Information Officer at Mass General Brigham (MGB). He founded the MGH & BWH Center for Clinical Data Science and oversees the development and deployment of AI at MGB. As the chief data science officer, Dr. Dreyer leads the global Mass General Brigham AI team to develop and scale advanced analytic capabilities in support of strategic initiatives. He interfaces with executive leadership from public and private sector businesses and senior leadership across Mass General Brigham, fostering an environment to support health care transformation through cutting-edge data science, machine learning, and artificial intelligence. His most recent focus has been on garnering feedback regarding use of AI in clinical practice from radiologists nationally and uncovering the challenges that exist in medical imaging AI today.

Dr. Dreyer has held numerous positions with the American College of Radiology (ACR), including chairman of the Informatics Commission, and is currently the ACR Data Science Institute’s Chief Science Officer. In 2023, Dr. Dreyer received global recognition for his achievements when Time Magazine named him to its first ever Time 100 AI List, highlighting the 100 most influential individuals in artificial intelligence today. Additionally, Dr. Dreyer received The Dr. Joe Gitlin Award in 2023. Presented annually from the Society for Imaging Informatics in Medicine, this honorary award is given in recognition of outstanding lifetime contributions to the field of imaging and informatics through the development of innovative, high impact solutions.  

Scientific Director, Mass General Research Institute
Professor of Neurology, Harvard Medical School
Elizabeth G. Riley and Daniel E. Smith, Jr. MGH Research Scholar 2013-2018
Elizabeth G. Riley and Daniel E. Smith, Jr. Endowed MGH Research Institute Chair

Dr. Susan Slaugenhaupt is Scientific Director, Mass General Research Institute, a professor in the Department of Neurology at Mass General and Harvard Medical School and an investigator in the Center for Genomic Medicine at Mass General. She is a member of the hospital’s Research Institute Steering Committee and an ex-officio member of the Research Institute Advisory Council.

Dr. Slaugenhaupt and her Research Institute team promote science at Mass General and beyond, partnering with individual philanthropists, their families and foundations, building corporate partnerships, and celebrating Mass General research broadly through communications, events and media.

The Slaugenhaupt Lab is investigating two neurological disorders, familial dysautonomia (FD) and mucolipidosis type IV (MLIV) and the common cardiac disorder mitral valve prolapse (MVP). The discoveries in Dr. Slaugenhaupt’s laboratory have led to the successful implementation of population screening for FD and MLIV. Her team’s more recent discovery of a drug that modifies mRNA splicing has led to a clinical trial of the first therapeutic for FD that directly targets the molecular defect. Dr. Slaugenhaupt’s team has also successfully developed a potential treatment for a genetic disease that directly targets the mRNA splicing mechanism.

In 2013, Dr. Slaugenhaupt was named the Elizabeth Riley and Daniel E. Smith, Jr. MGH Research Scholar. In 2016, she was honored with a prestigious Javits Neuroscience Investigator Award by the National Institute for Neurological Disorders and Stroke (NINDS) at NIH, and she was named one of the 2016 Top Ten Women to Watch in Science and Technology by the Boston Business Journal. In 2020, Dr. Slaugenhaupt was named inaugural incumbent of the Elizabeth G. Riley and Daniel E. Smith, Jr. Endowed MGH Research Institute Chair.

Assistant Investigator, Athinoula A. Martinos Center for Biomedical Imaging, Mass General Research Institute
Research Scientist, Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology
Assistant Professor of Radiology, Harvard Medical School

Dr. Adrian V. Dalca is an Assistant Investigator at the Athinoula A. Martinos Center for Biomedical Imaging and an Assistant Professor of Radiology at Harvard Medical School. He completed his PhD in Electrical Engineering and Computer Science at the Computer Science and Artificial Intelligence Lab at the Massachusetts Institute of Technology (MIT). Dr. Dalca’s research focuses on developing machine learning models for medical image analysis, computer vision, and healthcare applications, with the goal of enabling new image analysis tasks not previously possible.

As part of the Clinical and Applied Machine Learning Group (CAML) at MIT’s Computer Science and Artificial Intelligence Lab Dr Dalca’s team develops machine learning techniques with clinical inspiration and real-world relevance. In 2023, Dr. Dalca received the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society’s Young Scientist Publication Impact Award, honored for his work on image registration, starting with the 2018 paper, “Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.” Dr. Dalca has authored or co-authored over 80 publications in peer-reviewed journals or conference proceedings and is actively engaged in mentorship, working with undergraduate, doctoral, and graduate students.

Radiologist, Thoracic Imaging and Intervention, Massachusetts General Hospital
Head, Thoracic Imaging Percutaneous Thermal Ablation, Massachusetts General Hospital
Associate Professor of Radiology, Harvard Medical School

Dr. Florian J. Fintelmann is a radiologist physician-scientist in the Department of Radiology at Massachusetts General Hospital (MGH), and Associate Professor of Radiology at Harvard Medical School. Before his appointment in the Division of Thoracic Imaging and Intervention in 2014, Dr. Fintelmann completed Radiology Residency and Fellowship training at Mass General. Dr. Fintelmann heads the MGH Thoracic Percutaneous Ablation Program and the Radiology Research Scholar Visiting Fellowship Program. He was the 2019 American Roentgen Ray Society Scholar.

The Fintelmann Lab is a collaborative, interdisciplinary team focused on improving cancer care with quantitative image analysis, artificial intelligence, and image-guided minimally invasive interventions. Dr. Fintelmann studies lung cancer from early diagnosis to advanced disease. As a Thoracic Interventional Oncologist, Dr. Fintelmann believes that patients with cancer benefit from minimally invasive image-guided diagnostic and therapeutic procedures. He has mentored 35+ trainees and junior faculty and published 90+ original research papers.

Clinical Investigator and Staff Psychologist, Department of Psychiatry, Massachusetts General Hospital
Associate Director, Depression Clinical Research Program, Massachusetts General Hospital
Associate Professor of Psychology in the Department of Psychiatry, Harvard Medical School

Dr. Paola Pedrelli is a Clinical Investigator and Staff Psychologist in the Department of Psychiatry at Massachusetts General Hospital. She is an Associate Director of the Depression Clinical Research Program at Massachusetts General Hospital and Associate Professor of Psychology in the Department of Psychiatry at Harvard Medical School.

Dr. Pedrelli is a leading scientist in the development of digital tools for the long-term monitoring of depression, leveraging artificial intelligence and wearable and mobile sensors. She has developed several face-to-face cognitive behavioral therapy approaches for depression. Additionally, she has conducted clinical trials on novel digital health interventions for depression. More recently, her work has centered on investigating the effectiveness of ketamine-based treatments for depression and suicidal thoughts and behaviors, as well as the underlying mechanisms of these conditions. To date, she has authored more than 70 peer-reviewed publications and chapters.

Investigator, Radiology, Mass General Research Institute
Director of 3D Imaging Research in Radiology, Massachusetts General Hospital
Associate Professor of Radiology, Harvard Medical School

Dr. Hiroyuki Yoshida is the Director of 3D Imaging Research in Radiology at Massachusetts General Hospital and an Associate Professor of Radiology at Harvard Medical School. Dr. Yoshida focuses on innovative research in generative-AI-aided diagnosis and high-performance imaging informatics systems. His research has led to the development of advanced AI algorithms that identify and characterize potential colorectal lesions, significantly improving early detection rates and patient outcomes.

Dr. Yoshida has authored or co-authored over 290 peer-reviewed publications, and his contributions to the field have been recognized with 28 awards from medical imaging societies. Dr. Yoshida serves as Deputy Editor of the International Journal of Computer Assisted Radiology and Surgery (CARS) and as an editorial board member of several clinical and technical journals. For the past eight years, he has chaired the Conference on Computer-aided Diagnosis and Artificial Intelligence (CAD-AI) at the CARS congress, fostering global collaboration in this rapidly evolving field.