Michael R. Kolesnikov, MSN, PhD
Trauma Clinician • Decision Scientist • Human-Centered AI in Acute Care
I work at the intersection of acute care medicine, decision-making science, and applied machine learning.
My research focuses on how clinicians make high-stakes decisions under time pressure (especially in trauma resuscitation) and how AI can support — not replace — expert judgment. I’m particularly interested in interpretable, workflow-aware decision support that improves safety, reduces cognitive load, and helps allocate scarce resources such as blood products.
This site is a home for my academic work and a few personal side journeys.
Publications
Projects
Lectures
Reading
Travel
Cooking
GitHub
Publications
Peer-reviewed journal articles, conference presentations, and works in progress — focused on trauma systems, machine learning, and decision-support frameworks.
Projects
From multimodal fusion models for massive transfusion prediction to system-level blood demand forecasting, my projects explore how structured data, imaging, and environmental signals can inform real-world clinical decisions.
Lectures
I teach and speak on topics including:
- Decision-making science in healthcare
- Clinical AI evaluation and implementation
- Mixed-methods approaches to feature discovery
- Interpretable machine learning
Slides and recordings are available here.
Reading
Beyond data and algorithms, I’m fascinated by narrative — how stories shape thinking, ethics, and imagination.
This section includes literary reflections, favorite authors, and short pieces of my own.
Travel
Maps, itineraries, and reflections from travels across Europe and
beyond.
Travel, like research, is about perspective.