Research Mentors

Institution and Department

Research Focus

Rob Coalson

Pitt – Chemistry, Physics, and the Center for Molecular and Materials Simulations

Models kinetics and strucutre/function relations in biological ion channels. (sample project)

Vaughn Cooper

Pitt – Microbiology & Molecular Genetics

Understanding how bacterial populations evolve and adapt to colonize hosts and cause disease. By studying evolution-in-action, both in experimental populations and in ongoing infections, and using the latest methods in genomic sequencing, we seek to identify mechanisms of bacterial adaptation in vitro and in vivo(sample project)

Lance Davidson

Pitt - Bioengineering

Multidisciplinary (mathematics, developmental biology, biophysics, and bioengineering) approach to understanding how molecular and genetic programs drive the formative tissue mechanics and self-assembly processes that generate living structures in developing embryos. (sample project)

G. Bard Ermentrout

Pitt – Mathematics and the CMU-Center for the Neural Basis of Cognition

Application of nonlinear dynamics to problems from cell biology and physiology. (sample project)

Bing Liu Pitt - Computational & Systems Biology Mathematical modeling of signaling network dynamics with formal verification and machine learning techniques. (sample project)
Natasa Miskov-Zivanov Pitt - Electrical and Computer Engineering Automation of learning big mechanisms in biology. Systems and synthetic biology. (sample project)
Robert Parker Pitt - Chem/Petroleum Engineering Development or systems engineering tools; modeling, analysis, and control of biomedical systems (sample project)

Roni Rosenfeld

CMU - Computer Science, Machine Learning, and The Language Technology Institute

Using growing databases of viral sequences to build descriptive and generative models of viral molecular evolution.  Modeling the evolution of Influenza.

Jonathan Rubin

Pitt - Mathematics

Application of dynamical systems to modeling of inflammation and other aspects of physiology.

Hanna Salman

Pitt – Physics & Astronomy

Understanding the factors that shape phenotypic variability in populations of bacteria and how the populations benefit from such variability. Studies utilize tools of physical biology, which combines physical techniques, both experimental and theoretical, with biological methods.

Jason Shoemaker

Pitt – Chemical Engineering and Systems Immunology

The Shoemaker Lab focuses on systems immunology. We model our body's natural, dynamic responses to disease and develop mathematical tools to support these modeling challenges. Our model systems are multiscale with applications in pathogen detection and clearance, cancer immune evasion, and more.

Sanjeev Shroff

Pitt – Bioengineering

Large-Scale mathematical simulations of biological systems for research, education, and engineering design.

Ian Sigal

Pitt – Ophthalmology

Computational and experimental methods to understand the biomechanics of the eye and soft tissue remodeling.

Matt Smith

Pitt - Ophthalmology and Bioengineering

Computational approaches to modeling neuronal communication and interactions, combined with experimental techniques to measure the activity of populations of neurons.

Ben Van Houten

Pitt – Pharmacology and Chemical Biology

The formation and repair of DNA damage in nuclear and mitochondrial genomes, with particular interest in the structure and function of proteins that mediate nucleotide excision repair and the role of oxidative stress in human disease.

Tim Verstynen

CMU - Psychology and CNBC

Structure-function associations in response selection and sensorimotor skill learning.

Art Wetzel

Pittsburgh Supercomputing Center

Image processing and large data handling, 10s of TBytes, for neural circuit reconstruction from optical and electron microscopy. This work involves both biological analysis and computational program development.

Jianhua Xing

Pitt – Computational Biology

Computational and experimental quantitative biology approaches to study the dynamics and (genetic and epigenetic) regulatory mechanism of cell phenotype changes. The lab is highly interdisciplinary including physics, mathematical and computational modeling, and cell biology studies. (sample project)

Leming Zhou

Pitt – Health Information Management

Agent-based, equation-based, and statistical modeling of cardiovascular disease; comparative genomics and its applications in personalized medicine. (sample project)