Aileen Adriano, MD, is a Clinical Associate Professor of Anesthesiology at Stanford University and a nationally recognized leader in coaching and faculty development. She serves as Associate Division Chief, former Associate Residency Program Director, and faculty scheduler for Stanford’s Department of Anesthesiology. Dr. Adriano co-chairs the Society for Education in Anesthesiology’s Coaching Task Force and has helped shape the culture of coaching both at Stanford and across the country. Her work focuses on professional identity formation, values-aligned growth, and building scalable coaching programs that support physicians at every career stage.

Bryan Mahoney, MD, FASA is Residency Program Director and Vice Chair of Education at Mount Sinai St. Luke’s and West Hospitals, and Assistant Professor of Anesthesiology at the Icahn School of Medicine at Mount Sinai. He completed medical school and residency at Mount Sinai, followed by fellowship in Obstetric Anesthesiology at Brigham and Women’s Hospital.

Dr. Mahoney trained in simulation education at the HELPS Center and later helped establish the first ASA-endorsed MOCA simulation program at Ohio State, where he also developed a popular simulation-based physiology course. He became Program Director in 2014 and Vice Chair of Education in 2019.

He has held education leadership roles with SEA, SOAP, and the ASA. A former visual artist, he enjoys reading German Idealist philosophy. His core teaching principle: study great educators, build on what works, and let learners know you are firmly in their corner.

Chanseo (CS) Lee is an MD candidate at Yale School of Medicine whose work sits at the intersection of artificial intelligence, anesthesiology, and medical education. He serves as Technical Lead in Yale’s Department of Anesthesiology, where he developed Anesthesia Playground, an AI-enabled simulation platform that helps learners build experience with anesthesia machines, physiologic waveforms, medications, and clinical decision-making before entering the operating room. He also conducts research applying machine learning and data science to cardiac surgery and perioperative care. CS earned his BS in Chemistry from MIT. Outside of Yale, he works in AI product and strategy at Deerfield Management and is co-founder of Sporo Health, which develops AI tools for clinical workflows. His broader interests include generative AI, simulation, personalized medicine, and expanding access to effective digital health and educational tools.

Marianne Chen, MD is a Clinical Associate Professor of Anesthesiology at Stanford University with a clinical focus in liver transplant anesthesia, critical care, and perioperative point-of-care ultrasound. She completed medical school at Boston University, internship at Santa Clara Valley Medical Center, and residency and fellowship training in anesthesiology and critical care medicine at Stanford. Dr. Chen is Board Certified in Anesthesiology and Critical Care Medicine.

She has held multiple education leadership roles, including Clerkship Director for the General Operating Room rotation and Associate Program Director for the combined Anesthesiology and Internal Medicine Residency. She currently serves as Residency Program Director for the Stanford Department of Anesthesiology, where she leads program development, trainee mentorship, and curriculum innovation across perioperative and critical care domains.

Matthew Caldwell is a cardiothoracic anesthesiologist with expertise in perioperative echocardiography and a national leader in the use of clinical data to support competency-based medical education. He completed his anesthesiology residency and adult cardiothoracic anesthesia fellowship at Johns Hopkins Hospital after earning his MD from Indiana University School of Medicine.

Dr. Caldwell’s academic work sits at the intersection of high-functioning clinical teams, nontechnical skills, and large-scale electronic health record analytics. As a member of the Samuel and Jean Frankel Cardiovascular Center, his research explores how experience data and longitudinal patterns can be used to understand learning trajectories, improve coaching, and align educational processes with real-world clinical practice. His recent publications span anesthesiology education, operative team performance, and the use of EHR data to advance precision education.

Morgan Brinker is an MD candidate at Yale School of Medicine with interests in anesthesiology, pediatrics, medical education, and the social and historical forces that shape health. Her work has focused on health equity, mentorship, and improving access to medical education and care for communities that have been historically underserved. At Yale, she has served in leadership and mentoring roles supporting first-generation and low-income students, premedical trainees, and students pursuing careers in the health sciences. Her research includes work on food insecurity among U.S. medical students and broader questions of equity in health professions education. Morgan earned her BA in Health and Human Biology from Brown University, where she studied the social context of health and disease.

Dr. Rishi Kadakia is an Assistant Clinical Professor of Pediatric Anesthesiology and Pediatric Cardiac Anesthesiology at UCSF Benioff Children’s Hospitals. He specializes in the care of children with congenital heart disease and completed fellowships in pediatric anesthesiology and pediatric cardiac anesthesiology at Children’s Hospital Los Angeles.

An active educator, Dr. Kadakia develops digital learning platforms and AI-enabled tools that support clinician training. He was recently selected for UCSF’s AI Catalyst Program, a faculty-development initiative focused on the responsible integration of AI in academic medicine.

His current work explores how AI can support precision learning through individualized educational content, enhanced understanding of complex physiology, and new approaches to learner assessment and engagement. He is also deeply committed to mentorship and fostering the next generation of healthcare professionals.

Shadt Skawratananond is a medical student at Texas Tech University Health Sciences Center and a 2026 Foundation for Anesthesia Education and Research Medical Student Anesthesia Research Fellow (FAER MSARF) at Stanford University. His research interests span neuroscience, aging, and anesthesiology, with particular experience studying Alzheimer’s disease, mitochondrial biology, and the microbiota-gut-brain axis. Shadt has authored peer-reviewed research in Ageing Research Reviews and the American Journal of Physiology-Gastrointestinal and Liver Physiology. At Stanford, he is affiliated with the Department of Anesthesiology, Perioperative and Pain Medicine.