Faculty List

Program Directors: Ziv Bar-Joseph (CMU – zivbj@cs.cmu.edu) and James Faeder (Pitt – faeder@pitt.edu)

Program coordinators: Kelly Gentille (kmg120@pitt.edu) and Nicole Stenger (nstenger@cs.cmu.edu).

  • All
  • Core Faculty
  • Affiliate Faculty
  • Bioimage Informatics
  • Cellular and Systems Modeling
  • Computational Genomics
  • Computational Structural Biology
Distinguished Professor & JK Vries Chair, Computational & Systems Biology, Pitt
Biomolecular systems dynamics, multiscale modeling and simulations, computer-aided drug design, molecular and systems pharmacology, bridging sequence evolution, structure and function.
Professor, Machine Learning, CMU
Our group develops computational methods for understanding the interactions, dynamics and conservation of complex biological systems.
Professor, Computational and Systems Biology, Pitt
We develop new computational methods to model biological processes and mine high-dimensional, multi-modal biomedical data.
Professor; Assoc Vice Chancellor, Science Strategy & Planning (HS);Pittsburgh Foundation Professor and Director, Inst for Personalized Medicine, Pitt
Dr. Berg’s research focuses the relationships between the structures and functions of biological molecules.
Director, MBIC; Associate Professor, Chemistry and Biological Sciences, CMU
Our work is focused on developing tools that couple the best of the synthetic dyes with the advantages of genetic targeting…
Associate Professor, Computational and Systems Biology, Pitt
We develop new technologies to predict and model protein structures, their physical interactions, and substrates.
Allen Newell Professor, School of Computer Science, CMU
Machine Learning in Computational Proteomics; Active and Proactive Machine Learning; Transfer and Multitask Learning; Low-Resource Language Analysis; ML & LT for On-Line Education.
Assistant Professor, Computational and Systems Biology, Pitt
Our research aims at understanding the molecular mechanisms of evolutionary change and innovation by examining systems biology in the light of evolution and evolution in the light of systems biology.
Associate Professor, Pediatrics, Pitt
Statistical and computational methods for high-throughput genetic/genomic and the genetic study of complex diseases, including age-related macular degeneration (AMD), childhood asthma, and chronic obstructive pulmonary disease (COPD).
Associate Professor, Computational Biology, Pitt
We investigate the molecular and cellular origins of human epithelial malignancies through computational approaches.
Assistant Professor, Computational Biology, Pitt
The goal of Dr. Chikina’s research is to use genome scale data to advance our understanding of how genes contribute to the function of a complex organism, in health and disease.
Associate Professor, Chemistry, Pitt
Research in the Chong lab involves the development and application of molecular simulation approaches to model a variety of biophysical processes.
Professor, Computer Science, Pitt
Database Systems, Mobile and Pervasive Data Management, Distributed Computing, Operating Systems, Real-Time Systems.
Program Associate Director, Assisstant Professor, Computational Biology, Pitt
Our research focuses on the process of adaptive evolution in response to natural and sexual selection, and on co-evolutionary patterns within gene networks.
Professor, Chemistry, Pitt
Quantum Dynamics Theory, with Application to Condensed Phase Systems; Colloid Science: Structural and Dynamics of Charged Polystyrene Sphere Suspensions; Design of Dielectric Waveguides.
Professor, Machine Learning and LTI, CMU
Information integration and machine learning, particularly information extraction, text categorization and learning from large datasets.
Assistant Teaching Professor, Computational Biology, CMU
As a teaching-track faculty member, I constantly seek ways to improve my teaching, from incorporating active learning and peer instruction in the classroom to finding the best ways in which online materials can inform offline education.
Professor, Biomedical Informatics, Pitt
Application of decision theory, probability theory, Bayesian statistics, and artificial intelligence to biomedical informatics research problems.
Associate Professor, Microbiology and Molecular Gentetics, Pitt
We study evolution-in-action in the laboratory, in infections, and in cancers using genomics to identify and ultimately predict adaptations.
Chemical & Biomedical Engineering, CMU
Using rheological, biophysical and optical techniques to understand the structure and organization of the cell nucleus.
Associate Professor, Bioengineering, Pitt
Reverse Engineering Morphogenesis – From Cell Motility & ECM to Tissue Mechanics.
Biological Sciences, CSD, CMU
Computational molecular biology and computational genomics; especially, the evolution of genomic organization and function.
Assistant Professor, Biological Sciences, Pitt
Develop broadly applicable, innovative computer-aided drug design (CADD) techniques and apply those techniques to further infectious-disease, neurological, and cancer drug discovery.
Professor, Statistics, MLD, BIO, CNBC, CMU
The statistical problems associated with Functional Magnetic Resonance Imaging (fMRI)
Professor, Mathematics, Pitt
Dr. Ermentrout’s main focus is in the area of mathematical neuroscience where he tries to understand the patterns of activity in networks of neurons.
Program Director, Associate Professor, Computational Biology, Pitt
Developing mathematical models of biological regulatory processes that integrate specific knowledge about protein-protein interactions.
Professor, CSD, MLD,CBD, CMU
Data Mining for graphs and streams. Fractals, self-similarity and power laws. Indexing and data mining for video, biological and medical databases.
Professor, Public Health, Pitt
Statistical methods for complex family-based datasets. Detecting identity-by-descent and testing relationships using dense (sequence or chip) data.
Associate Professor, Biomedical Informatics, Pitt
Pattern mining whole-genome and whole-proteome sequences, with application of suffix array data structures for preprocessing genome sequences.
Associate Professor, Biomedical Informatics, Pitt
The design and development of computational methods for solving clinically relevant biological problems.
Professor, MLD, RI, CMU
Multi-agent planning, reinforcement learning, decision-theoretic planning, statistical models of difficult data (e.g. maps, video, text), computational learning and game theory.
Distinguished Professor, Structural Biology, Pitt
The molecular and atomic details that govern specificity in a variety of cellular interactions and that result in the amazing functional diversity observed in living organisms.
Professor, Ophthalmology, Pitt
We study eye development and disease. We’re particularly interested in the genomic and epigenomic regulation of retinal development and regeneration.
Professor, Biological Sciences, Pitt
The molecular genetics of the mycobacteria and their mycobacteriophages.
Associate Professor, Computer Science, Pitt
The development of modern machine learning technologies for analysis of high dimensional time-series data in electronic health record (EHR) data and their application in clinical decision support and clinical alerting.
Assistant Professor, Biological Sciences, CMU
Understanding the role of bacteria in both health and disease.
Associate Professor, Biological Sciences, CMU
How genomes control cell fate decisions during embryonic development and also later regeneration.
Associate Professor, Biomedical Informatics, Pitt
We apply artificial intelligence, machine learning, Bayesian, and other computational methods to problems in biology, medicine, and translational research.
Professor, Chemistry, Pitt
Theory and experimental studies of molecules and clusters, reaction at surfaces, electron and proton localization transfer in polyatomic molecules and waterclusters.
Assistant Professor, CBD, CS, CMU
Developing statistical machine learning techniques to address significant methodological problems in computational genomics.
Associate Professor, CBD, CMU
Designing graph and optimization algorithms to extract insight from biological data.
Assistant Professor, Computational Biology, Pitt
We develop computational algorithms and full-scale systems to support rapid and inexpensive drug discovery and apply these methods to develop novel therapeutics.
Assistant Professor, Developmental Biology, Pitt
We model epigenomic marks during differentiation and development, and build methods to elucidate the role of transcriptional enhancer sequences in vertebrate left-right patterning.
Hamerschlag University Professor and Head of Electrical and Computer Engineering; Professor of Biomedical Engineering, CMU
Research interests: biomedical imaging as well as multiresolution techniques such as wavelets and frames.
Associate Professor, Chemistry, CMU
Understanding the work of membrane proteins, such as receptors, signal transduction proteins, toxins and ion channels.
Associate Professor, CS, CBD, CMU
Personalized Medicine and Computational Structural Biology using Machine Learning and Mechanistic Modeling. Modeling the evolution of drug resistance.
Professor, Biological Sciences, Pitt
Elucidating the evolution of bacterial genomes, including their size, composition, variability and organization.
Professor Biomedical Engineering, CMU
To investigate biological systems with mechanical engineering approaches, which we enable by synthesizing novel technologies.
Assistant Professor, Biological Sciences, Pitt
My research addresses how gene expression programs change, leading to changes to cellular identity.
Assistant Professor, Computational Biology, Pitt
We use single cell experiments and mathematical models to understand how cells process information to make cell fate decisions.
Assistant Professor, Computational Biology, Pitt
Using coarse-grained models and statistical physics techniques to elucidate the underlying physical rules that are applied to the elements of living systems.
Professor, Computer Science, Pitt
Big data, user-centric data management, scientific data management, data stream management systems and data-intensive computing.
Biological Sciences, CMU
The regulation of alternative pre-mRNA splicing, its contribution to cell function and development, and its disruption in disease.
Professor, Biomedical Informatics, Pitt
Computational methods to identify signaling pathways underlying biological processes and diseases as well as statistical methods for acquiring knowledge from biomedical literature.
Associate Professor, CBD, CMU
Developing novel algorithms to study genome structure and function, chromatin and nuclear genome organization, and gene regulation in mammalian genomes as well as in cancer.
Assistant Professor, Biological Sciences, CBD, CMU
Understanding the genetic causes of variation in gene expression.
Associate Professor, Pathology, Pitt
My research uses system biology approaches to understand disease pathologies, and develop improved diagnostic and therapeutic approaches.
Professor, Computer Science, CMU
Computational geometry, scientific computing, parallel algorithms and randomized algorithms.
Assistant Professor, Electrical and Computer Engineering, Bioengineering, Pitt
Biological design automation and systems and synthetic biology.
Professor, Machine Learning, CS, CMU
Machine learning to understand how the human brain uses neural activity to represent information, and statistical learning algorithms for natural language processing.
Ray and Stephanie Lane Professor of Computational Biology, CMU
Cell and computational biology. Experimental and computational methods to learn and represent how proteins are organized within eukaryotic cells.
Assistant Professor, Computational Biology, CMU
The neurogenomics laboratory studies how genome sequence differences influence behavior and neurological disorder predisposition.
Professor, Business, CS, CMU
Models, methods and applications of discrete optimization.
Assistant Professor, Biological Sciences, Pitt
We study the evolution of gene regulatory networks that control differences in morphology.
Professor, Statistics, Computational Biology, CMU
The use of statistical tools to understand the workings of the human genome and the nature of inherited diseases.
Professor, Structural Biology, Pitt
My research philosophy is to bring a physical, problem-ori­ented ap­proach to the acquisition and interpretation of biomolecular structural information.
Professor, LTI, MLD, CSD, CBD, CMU
The long term vision of our DELPHI research group is to make epidemiological forecasting as universally accepted and useful as weather forecasting is today.
Professor, Mathematics, Pitt
Modeling and analysis of neuronal network dynamics, especially respiratory, locomotor and pathological rhythms; modeling acute inflammation, including in traumatic brain injury; multiple time scale dynamics and parameter estimation for biological models.
Professor, Biological Sciences, CMU
My research is directed at understanding inter-molecular interactions in biological systems.
Professor, Disruptive Health Tech Inst., CMU
For the last 20 years, the Russell laboratory has been discovering what can be achieved by exploiting the rich interface of chemistry, biology and materials.
Professor, Chem Eng, Comp Bio, CMU
We advance areas of optimization theory, algorithms, and software, and develop comprehensive solutions to problems involving biological, chemical, and engineering systems.
Associate Professor, Physics, Pitt
Our research aims to understand mechanisms of collective behavior and variability in bacterial cultures and their effect on responses to changing environments.
Professor, Computer Science, ML, CMU
Steering evolution and biological adaptation using computational game theory and opponent exploitation techniques; generating multi-step treatment plans; optimization, game theory, artificial intelligence, and market design.
PGH Development Center
The molecular biology of cell function in gametes, embryos, stem cells, maternal/fetal efficacy of assisted reproduction technologies, the origins of developmental diseases, and…
Professor, Biological Sciences, Comp Bio, CMU
Computational genomics, population genetics and phylogenetics, cancer heterogeneity and progression, computational biophysics, simulation and model inference of complex reaction networks.
Associate Professor, Mathematics, Pitt
My research is in the area of mathematical biology. We construct mathematical models of biological systems within the framework of continuum mechanics and stochastic dynamic systems.
Professor, Anesthesiology, Pitt
We are interested in the action of low-affinity drugs, such as general anesthetics and alcohols, on the neurotransmitter-gated receptor channels.
Director, Drug Discovery Inst., Pitt
I am focusing my efforts in Quantitative Systems Pharmacology in order to change the paradigm in drug discovery and development.
Professor, Biostatistics, Pitt
We develop rigorous, timely and useful statistical and computational methodologies to understand disease mechanisms and improve disease diagnosis and treatment.
Professor of Neurobiology and co-Director of the Center for the Neural Basis of Cognition, Pitt
Dr. Urban’s research interests seek to understand the physiological mechanisms underlying functional and computational properties of brain neuronal networks.
Associate Professor, Biomed. Informatics, Pitt
Application of AI, machine learning, data mining of biomedical data, and Bayesian methods to problems in clinical medicine and bioinformatics with focus on patient-specific predictive modeling.
Professor, Surgery, Pitt
Our group’s research focuses on studying mechanisms of inflammation and gaining a systems-level perspective into this central physiological and pathological process.
Associate Professor, Pathology, Pitt
Apply integrative bioinformatics, cancer genetics, molecular cancer biology, and translational studies to identify driving genetic aberrations and appropriate cancer targets on the basis of deep sequencing and genomic profiling datasets.
Biomedical Engineering (Chair), CMU
Mechanics represent a key aspect of live cells. Our lab seeks a cellular-level understanding of the mechanisms of actuating and sensing mechanical events.
Professor, Statistics, ML, CMU
We are group of faculty and students in Statistics and Machine Learning broadly interested in theoretical work at the intersection of these two disciplines.
Associate Professor, Computational Biology, CMU
My research uses integrative approaches to study complex human diseases by combining biology, computational and statistical learning, bioinformatics, and genomics.
Professor, Pharmacy, Pitt
Dr. Xie’s research group designs and discovers GPCRs chemical genomics-based drugs for osteoporosis, multiple myeloma and breast cancer research.
Professor, Machine Learning, CMU
We develop machine learning, statistical methodology, and computational systems for solving problems of learning, reasoning, and decision-making in artificial, biological, and social systems.
Associate Professor, Computational Biology, Pitt
The lab currently focuses on Epithelial-to-Mesenchymal Transition (EMT), characterized by loss of cell-cell adhesion and increased cell motility.
Assistant Professor, Computational Biology, CMU
We develop computational methods for modelling cell organization derived from electron cryotomography 3D images.
Professor, Anesthesiology, Pitt
High-Resolution Channel Protein Structure and Function; Molecular Mechanisms of General Anesthesia; MRI of Brain Protection after Cardiac Arrest and Resuscitation.
Assistant Professor, Pharmacy, Pitt
The Yang lab focuses on computational and functional studies to identify mechanisms of cancer drug resistance, and to develop approaches/markers for personalized cancer medicine.
Associate Professor, Biomedical Engineering, CBD, CMU
My research interests are in computational cell biology, bioimage informatics, molecular cell mechanics, and fluorescence imaging.
Assistant Profssor, Computer Science, CMU
Designing programming models, language implementation strategies, and tools to make it easier to create software. Security and privacy of medical data and modeling protein interactions.