Alon Malka-Markovitz

Description

Dr. Alon Malka-Markovitz holds a Ph.D. in Mechanical Engineering from the Technion – Israel Institute of Technology, ranked among the top technological universities globally. He was awarded the prestigious Eli Altus Award for excellence in doctoral research.

He began his career in Israel's defense industry, where he spent nearly two decades advancing from Senior Researcher to Director of R&D Simulation and Modeling. In this role, he led interdisciplinary teams of over 50 scientists from mathematics, computer science, engineering, and biology. His work focused on multiscale simulations of dynamic material behavior, failure mechanics, and terminal ballistics. He managed large-scale projects with multimillion-dollar annual budgets and played a key role in strategic leadership.

In 2024, Dr. Malka-Markovitz joined Long Island University’s Dassault Systèmes Center of Excellence in Brooklyn as a Research Scientist and Postdoctoral Fellow. He currently leads the Living Liver initiative, a pioneering project developing AI-enhanced, multiscale digital twins of the human liver for applications in drug safety, surgical planning, and personalized medicine. His research integrates Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), and AI-based surrogate modeling. This work is conducted in collaboration with Dassault Systèmes and leading clinicians at Baylor College of Medicine.

Dr. Malka-Markovitz brings over 20 years of experience in simulation, material modeling, and biomedical applications. His research focuses on multiscale modeling, digital twin systems, physics-informed AI, and simulation-driven clinical translation. He has authored 20 peer-reviewed publications and has extensive experience teaching and mentoring in both academic and industrial settings.

Research

Multiscale Simulation, Digital Twins and AI

One of Dr. Malka-Markovitz’s primary research areas is the development of multiscale digital twins that integrate physics-based simulations with artificial intelligence to model complex biological systems. His work bridges Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), and physics-informed neural networks to produce clinically actionable simulations. At Long Island University, he leads the Living Liver project, a patient-specific, organ-scale digital twin of the liver that predicts drug-induced liver injury (DILI) through the integration of vascular flow, enzymatic metabolism, and zonated tissue damage. This research, in collaboration with Baylor College of Medicine and Dassault Systèmes, was recently published in Nature Digital Medicine (2025).

His approach combines high-fidelity hemodynamic modeling with AI-driven surrogate models, enabling rapid and interpretable prediction of liver function under diverse physiological and pathological conditions. These models have been validated against imaging data (e.g., 4D MRI) and histopathological evidence, allowing translation from in silico simulation to potential clinical applications in drug development, surgical planning, and precision hepatology.

Dr. Malka-Markovitz’s research leverages machine learning to build surrogate models that dramatically reduce the computational cost of multiscale simulations while retaining physical fidelity. He is particularly focused on developing hybrid models that combine deep learning, reinforcement learning, and continuum mechanics to enable real-time decision support in clinical and engineering contexts. His ongoing projects include building scalable digital twin platforms that can adapt to other organ systems, such as the heart, gut, and brain, with an emphasis on modularity, explainability, and regulatory relevance.

Distinctions and Awards

• 2021: Technion Eli Altus Award for excellence in Doctoral research

Selected Publications

• Malka-Markovitz A. et al. Multiscale Modeling of Drug-Induced Liver Injury from Lobule to Organ. Nature Digital Medicine, 2025.
• Penetration mechanics of rigid projectiles impacting metallic and concrete targets – A summary of our work Z. Rosenberg, A. Malka-Markovitz.et al. International Journal of Protective Structures, 2024.
• Malka-Markovitz A., Devincre B., Mordehai D. A molecular dynamics-informed probabilistic cross-slip model in discrete dislocation dynamics. Scripta Materialia, 2021.
• Malka-Markovitz A., Mordehai D. Cross-Slip in FCC Metals: Stress-Dependent Activation Energy Line-Tension Model. Philosophical Magazine, 2019.
• Chocron S., Malka-Markovitz A., et al. Dynamic Behavior of Ultra-High Performance Concrete. Dynamic Behavior of Materials, 2018.
• A. Malka-Markovitz, D Mordehai. Cross-slip in face-centered cubic metals: a general Escaig stress-dependent activation energy line tension model Philosophical Magazine 2018
Full publication list