University of Bonn Medical Center
Dpt. of Anesthesiology & Intensive Care Medicine
Faculty Member,
McGowan Institute for Regenerative Medicine (MIRM)
Pittsburgh, PA, USA
Email: zenker@uni-bonn.de
Chris Hinske
President
Professor of Anesthesiology and a Professor of Medicine in the Department of Anesthesiology and Perioperative Medicine, Division of Critical Care
Mayo Clinic
Rochester, Minnesota
Email: vitaly@mayo.edu
Vitaly Herasevich
Vice President
Vitaly Herasevich, MD, PhD is a Professor of Anesthesiology and a Professor of Medicine in the Department of Anesthesiology and Perioperative Medicine, Division of Critical Care, at Mayo Clinic in Rochester, Minnesota. He has worked in medical informatics for more than 25 years with focused expertise in applied clinical informatics in critical care and the science of healthcare delivery. He joined Mayo Clinic in 2006 and serves as co-director of the Mayo Clinic Acute Care Informatics Laboratory. Dr. Herasevich’s work in applied clinical informatics spans advanced clinical data representation and underline architectures, ambient and AI-enabled real time alerting/decision support systems for early detection of critical syndromes and enterprise-wide surveillance. He has architected data warehouses to support learning health systems, quality improvement and outcomes research.
With longstanding interests in information security and more recent work in computer vision/multimodal analytics, Dr. Herasevich has coauthored more than 150 scientific publications and the book “Health Information Technology Evaluation Handbook” (now in its second edition). He has an extensive mentorship record and holds full faculty privileges in clinical research and artificial intelligence at the Mayo Graduate School. He developed informatics curricula for Mayo Medical School, CCaTS and the Master in Medical AI programs. Dr. Herasevich serves as principal investigator, co-investigator and informatics leader on past and ongoing federally and industry funded projects totaling more than $115 million in research support. He is a Fellow of the American College of Critical Care Medicine (FCCM), Fellow of HIMSS (FHIMSS), Fellow of American Medical Informatics Association (FAMIA) and current President of the Minnesota HIMSS Chapter. Dr. Herasevich is also part-time CMIO of Ambient Clinical Analytics (https://ambientclinical.com) and Kardiogenics (https://kardiogenics.com/).
Ruben Zamora
Treasurer
I have witnessed the birth of the Society and actively participated in many of its national and international meetings, both with poster and oral presentations. As a key part of my current research work, I am very interested in the use of computational and data-driven methods to help unravel the complexity of acute illness. After a few years as Secretary, embarking on being Treasurer of SCAI would be very beneficial to my understanding of the role of the Society, to my future interactions with the trainees and senior members of SCAI across all disciplines, and more importantly to my contribution to the work of the Society.
Max Oremek
Secretary
Associate Professor Biomedical Informatics,
Biomedical engineering (CU Denver + Anschutz), Biostatistics and Informatics (CU Anschutz), and Applied Mathematics (CU Boulder)
University of Colorado Anschutz School of Medicine (primary)
David Albers
Vice Treasurer
David J. Albers, PhD, is an associate professor of biomedical informatics at the University of Colorado Anschutz School of Medicine (primary), Biomedical engineering (CU Denver + Anschutz), Biostatistics and Informatics (CU Anschutz), and Applied Mathematics (CU Boulder). He trained in mathematics and physics at the University of Wisconsin–Madison, with fellowships at the Santa Fe Institute and the Max Planck Institute for Mathematics in the Sciences. His background is in dynamical systems, non-equilibrium statistical physics, and time-series analysis. He applies these to electronic health records, intensive care data, and physiology, with a focus on how patients change over time and on non-equilibrium systems. His focus, together with his team of collaborators, is to invent or adapt whatever computational method is needed to advance scientific understanding or clinical application, drawing on data assimilation, machine learning, deep learning, hybrid DA/ML/DL, optimal control, inverse game theory, reinforcement learning, computational phenotyping, multi-cost optimization, and optimal transport. This methodological toolkit is applied to computational physiology and digital twin development — building physiological models across endocrine (glucose-insulin), neurovascular, pulmonary, and female endocrine systems — with four goals: deepening our understanding of physiological mechanics and disease progression, personalizing models to support real-time clinical decision-making, discovering and defining phenotypes to reduce heterogeneity in patient populations, and enabling high-throughput discovery and validation of intervention-response relationships in complex, high-dimensional, nonstationary systems. He has also worked in applications areas such as sepsis definitions and modeling (e.g., the Phoenix Sepsis Criteria) and on early warning systems (e.g., the CONCERN nursing early warning system). Dr. Albers was elected to the American College of Medical Informatics (ACMI) class of 2025.