Uses mathematical modeling, systems analysis, and engineering tools to identify and utilize the dynamics of information flow through protein and gene regulatory networks; to predict the best treatment regimen for individual patients; to ensure that medical treatments are provided efficiently in hospitals; and much more.
Enhance your credibility by making your actions support your statements.”
Leslie Geddes
Showalter Distinguished Professor of Biomedical Engineer Emeritus
2006 National Medal of Technology, Founding Director of Biomedical Engineering at Purdue University, est. 1974
Human Betterment Analytics Research Lab - Nan Kong
Kong's current research involves solving data-driven system optimization problems arising in clinical decision-making, healthcare delivery and public health policy, as well as tackling inherent foundational methodological challenges on data-driven stochastic optimization and model-based reinforcement learning.
MCT Biomechanics Lab – Taeyoon Kim
The goal of our research is to understand mechanical properties of cytoskeleton, cells, and tissues via computational models. In addition, we aim to elucidate mechanisms of physiological processes by relating mechanics of the cytoskeleton at subcellular scale to cellular-level and tissue-level mechanics.
The BioCom Lab - Matthew Ward
The BioCom Laboratory houses a variety of research projects centered around nerve modulation therapies, computational and biophysical modeling.
Primary Applications of Interest
- Gastroparesis
- Anxiety and depression
- Chronic pain (e.g., from PTOA)
- Ehlers-Danlos Syndrome
- Immune modulation
The Pienaar Lab – Elsje Pienaar
The Pienaar lab uses computational models to understand how pathogens like Ebola virus, HIV and Mycobacteria interact with our immune systems, and how these host-pathogen interactions impact the effectiveness of treatment.
By taking this computational systems biology approach, we can effectively combine many complex and non-linear interactions into one system that can carefully quantify the roles of individual biological mechanisms.
The Umulis Lab – David Umulis
In the Umulis research group, our focus is to investigate the regulation of signal transduction, and its mechanical and chemical response during development. Specifically, we are interested in elucidating mechanisms of robustness, cell fate decisions and tissue patterning by morphogen gradients.
Translational Medical Image Computing Lab; Fiona Kolbinger
The Translational Medical Image Computing (TMIC) Lab is working at the intersection of medicine and data science, aiming to develop clinically valuable computational tools for patient care.