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Adjunct Professor, State University of New York at Stony Brook

• Biomolecular systems dynamics, multiscale modeling and simulations, computer-aided drug design, molecular and systems pharmacology, bridging sequence evolution, structure and function.

Associate Professor, Physics, Â鶹´å

• Theory and computational models of living systems and processes

Adjunct Professor, University of Florida

• We develop new computational methods to model biological processes and mine high-dimensional, multi-modal biomedical data.

Professor, Computational & Systems Biology, Pitt

Professor, Assoc. Vice Chancellor, Science Strategy & Planning (HS), Pitt
Pittsburgh Foundation Professor and Director, Pitt
Institute for Personalized Medicine, Pitt

• Dr. Berg’s research focuses the relationships between the structures and functions of biological molecules.

• 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.

• We investigate the molecular and cellular origins of human epithelial malignancies through computational approaches.

• We study precision cancer medicine by integrating machine and deep learning technology with complex multi-omics data.

Professor, Computer Science, Pitt
Director of Advanced Data Management Technologies Lab, Pitt

• Database Systems, Mobile and Pervasive Data Management, Distributed Computing, Operating Systems, Real-Time Systems.

Professor, Bioengineering, Pitt

• Reverse Engineering Morphogenesis – From Cell Motility & ECM to Tissue Mechanics.

Associate Professor, Pathology, UPMC, Pitt

• Synthetic Biology and genetic circuit engineering, Programming multicellular systems and organoids via integration of systems and synthetic biology, Synthetic living machines, Morphogenetic engineering using human stem cells, Study and recreate multicellular evolution, computation, recording, and their emergent behaviors.

Distinguished University 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.

Fredkin Professor of Computer Science, Â鶹´å

• Data Mining for graphs and streams. Fractals, self-similarity and power laws. Indexing and data mining for video, biological and medical databases.

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, Computing & Information, Pitt

• The design and development of computational methods for solving clinically relevant biological problems.

UPMC Rosalind Franklin Professor and Chair, Structural Biology, Pitt
Distinguished Professor of Structural Biology, Pitt
Professor of Bioengineering, 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.

Eberly Family Professor of Biotechnology, HHMI Professor, Biological Sciences, Pitt

• The molecular genetics of the mycobacteria and their mycobacteriophages.

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.

Eberly Family Career Development Associate Professor, Biological Sciences, Â鶹´å

• Understanding the role of bacteria in both health and disease.

Department Head and Dr. Frederick A. Schwertz Distinguished Professor of Life Sciences, Biological Sciences, Â鶹´å

• How genomes control cell fate decisions during embryonic development and also later regeneration.

Assistant Professor, Department of Neurological Surgery, Pitt

By integrating therapeutic ultrasound, protein engineering and design, pharmacology, and bioinformatics, we aim to achieve noninvasive, spatiotemporally precise, and molecularly specific control and monitoring of endogenous processes in intact brain cells and tissues.

Associate Professor, Biomedical Informatics, Pitt

• We apply artificial intelligence, machine learning, Bayesian, and other computational methods to problems in biology, medicine, and translational research.

Assistant Professor, Immunology, Computational & Systems Biology, Pitt

• Characterizing the antigenic targets of CD8+ T cells and regulatory T cells in anti-tumor and autoimmune T cell responses and probing the mechanistic basis of cross-reactivity of T cells between self- and pathogen-derived targets

Richard King Mellon Professor and Distinguished Professor of Computational Chemistry, Pitt 
Associate Director, Center for Research Computing, Pitt

• Theory and experimental studies of molecules and clusters, reaction at surfaces, electron and proton localization transfer in polyatomic molecules and waterclusters.

Maria Kurnikova

Professor, Chemistry, Â鶹´å

• Understanding the work of membrane proteins, such as receptors, signal transduction proteins, toxins, and ion channels.

Professor and Chair, Computer Science, Pitt
Co-Director, Advanced Data Management Technologies Laboratory, Pitt

• Big data, user-centric data management, scientific data management, data stream management systems and data-intensive computing.

Professor and Chair, Biological Sciences, Pitt

• Elucidating the evolution of bacterial genomes, including their size, composition, variability, and organization.

William J. Brown Professor, Biomedical Engineering, Â鶹´å
Director, Center for the Mechanics and Engineering of Cellular Systems, Â鶹´å

• 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.

Project Scientist, Computational Biology Department, Â鶹´å

• My research is focused on algorithm development and improvement in Bioinformatics such as genome assembly, RNA transcript assembly, sequence alignment, biological data storage, search and retrieval.

Associate Professor, Biological Sciences, Â鶹´å

• Understanding the genetic causes of variation in gene expression.

Assistant Professor, Electrical and Computer Engineering, Bioengineering, Pitt

• Biological design automation and systems and synthetic biology.

Founders University Professor, Machine Learning, Â鶹´å

• 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, Emeritus, Â鶹´å

• Cell and computational biology. Experimental and computational methods to learn and represent how proteins are organized within eukaryotic cells.

Assistant Professor, Human Genetics & Biostatistics, Pitt

• Investigates large-scale behavior of molecular dynamics in human diseases using bioinformatics, identifying molecular mechanisms of human diseases across diverse types of genetic and epigenetic data through big data analysis and machine learning algorithms.

Assistant Professor, Biological Sciences, Pitt

• Our research focuses on how cells control protein localization in response to nutritional and environmental stressors. We are interested in gaining a deep mechanistic understanding of how the ‘decisions’ are made to selectively relocalize membrane proteins via vesicle-mediated trafficking in response to cellular signaling cues. We use a wealth of biochemical, genetic and cell biological approaches, including high content and systems level studies, in our work. 

Andris A. Zoltners Professor of Business, Â鶹´å
Professor of Operations Research and Computer Science, Â鶹´å
Director of Analytics Strategy, Tepper School of Business, Â鶹´å

• Models, methods, and applications of discrete optimization.

Professor, Biological Science, Pitt

• We study the evolution of gene regulatory networks that control differences in morphology.

Professor, Statistics, Computational Biology, Â鶹´å

• The use of statistical tools to understand the workings of the human genome and the nature of inherited diseases.

Professor and Department Chair, 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.

Systems Scientist, Computational Biology, Â鶹´å

Head, Â鶹´å Qatar Biological Sciences Program
Professor, Biological Sciences, Â鶹´å

• My research is directed at understanding inter-molecular interactions in biological systems.

Associate Professor, Physics & Astronomy, Pitt

• Our research aims to understand mechanisms of collective behavior and variability in bacterial cultures and their effect on responses to changing environments.

Angel Jordan University Professor, Computer Science, Â鶹´å
Co-Director, Â鶹´å AI
Director, Electronic Marketplace Laboratory, Â鶹´å

• 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.

Director, Pittsburgh Development Center, Pitt
Professor of Obstetrics, Gynecology, Reproductive Sciences, Cell Biology, and Bioengineering, Pitt
Director of the Division of Development and Regenerative Medicine, Pitt

•  The molecular biology of cell function in gametes, embryos, stem cells, maternal/fetal efficacy of assisted reproduction technologies, the origins of developmental diseases...

Associate Professor, Chemical/Petroleum Engineering, Pitt

• Computationally Driven Discovery in Health Biological information – from molecular events to personal genomics – has exploded. Our group aims to develop computational approaches to exploit large-scale data to promote disease treatment discovery and optimization.

Associate Professor, Ophthalmology & Bioengineering Ocular Biomechanics Laboratory, Pitt
Director, Image Acquisition and Analysis Core Module, Ophthalmology and Visual Science Center, Pitt

• We study soft tissue architecture and biomechanics. We use computational and experimental tools to figure out natural strategies to make tissues robust and last a lifetime. We do this primarily by studying the eye.

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 and Perioperative Medicine, Pharmacology & Chemical Biology and Computational & Systems Biology, 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 Institute, Pitt
Distinguished Professor and Allegheny Foundation Professor of Computational & Systems Biology, Pitt

• I am focusing my efforts in Quantitative Systems Pharmacology in order to change the paradigm in drug discovery and development.

Associate Professor, Computing and Information, 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, Immunology, Bioengineering, Computational & Systems Biology, Clinical & Translational Science, and Communication Science & Disorders, 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 of Pharmaceutical Sciences, Pitt

• Computational Chemistry and Biophysics, Drug Discovery and Development, Systems Pharmacology and Outcomes

Associate Professor, Pathology & Biomedical Informatics, Pitt

• Develop novel bioinformatics tools and models to predict therapeutic responses of cancer targeted therapies and immunotherapies, as well as to facilitate clinically important decisions. Develop integrative computational genomics approaches to discover causal genetic alternations, viable therapeutic targets, and predictive biomarkers in cancer. Characterize the landscape of driving genetic aberrations, therapeutic targets, and predictive biomarkers for the development of new cancer precision medicine.

Mehrabian Professor, Biomedical Engineering, Â鶹´å

• Mechanics represent a key aspect of live cells. Our lab seeks a cellular-level understanding of the mechanisms of actuating and sensing mechanical events.

UPMC Professor of Statistics and Data Science, Statistics, ML, Â鶹´å

• We are group of faculty and students in Statistics and Machine Learning broadly interested in theoretical work at the intersection of these two disciplines.

Assistant Professor, Machine Learning Department & Neuroscience Institute, Â鶹´å

• Our research is focused on computational modeling of the brain representation of language and other high-level tasks. We use machine learning and neuroimaging -- fMRI and MEG -- to study how the brain represents information during complex naturalistic tasks. Our research is at the interface between natural language processing, machine learning and cognitive neuroscience.

Senior Systems Scientist, Computational Biology, Â鶹´å

• My research uses integrative approaches to study complex human diseases by combining biology, computational and statistical learning, bioinformatics, and genomics.

Associate Professor, Radiology, Biomedical Informatics, Bioengineering, Intelligent Systems, Clinical and Translational Science, Pitt
Director, Intelligent Computing for Clinical Imaging (ICCI) Lab, Pitt
Technical Director for AI Innovations in Radiology, Pitt

• Current research interests center on computational breast imaging and clinical studies for investigating quantitative imaging-derived biomarkers, models, and systems for breast cancer screening, risk assessment, diagnosis, prognosis, and treatment, towards improving individualized clinical decision-making and precision medicine.

Associate Dean of PharmacoAnaltyics, Pitt
Professor, Pharmaceutical Sciences, Pitt

• Dr. Xie’s research group designs and discovers GPCRs chemical genomics-based drugs for osteoporosis, multiple myeloma and breast cancer research.

Peter Winter Professor of Anesthesiology, Pitt
Professor of Pharmacology & Chemical Biology, Physics & Astronomy, and Structural Biology, Pitt
Vice Chair for Basic Sciences, Anesthesiology & Perioperative Medicine, Pitt

• High-Resolution Channel Protein Structure and Function; Molecular Mechanisms of General Anesthesia; MRI of Brain Protection after Cardiac Arrest and Resuscitation.

Associate Professor, Pharmaceutical Sciences, 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.

Professor, Department of Medicine, Division of Hematology/Oncology
Professor, Department of Immunology
Professor, Department of Dermatology, Pitt

• Our research focuses on translational cancer immunotherapy from the laboratory into the clinic and includes:

  1. The mechanisms of tumor-induced immune cell dysfunction, including the role of multiple inhibitory receptor pathways (PD-1, Tim-3, BTLA and TIGIT). 

  2. Novel combinatorial immunotherapies in cancer patients, including dual immune checkpoint blockades and intratumoral TLR9 agonist together with PD-1 blockade.

  3. Studies of the gut microbiome in cancer Immunotherapy. 

Associate Professor, Neurological Surgery, Pitt
Director, High-Definition Fiber Tractography Lab, Pitt

• Diffusion MRI, tractography, network analysis, medical image analysis, pathology informatics.

Assistant Professor, Department of Medicine, Division of Endocrinology and Metabolism, Aging Institute of UPMC, Pitt

• 12h-clock, Hepatic Metabolic Homeostasis, Aging-associated Diseases