Takis Benos

Panayiotis (Takis) V. Benos, Ph.D.
Professor and Vice Chair of Faculty Affairs

Molecular Biology, University of Crete, 1997
Contact
Department of Computational and Systems Biology, SOM
University of Pittsburgh, SOM
3501 Fifth Ave., Suite 3064 BST3
Pittsburgh, PA 15260, U.S.A.

Phone: (412) 648-3315
E-mail: benos@pitt.edu
Website: https://www.csb.pitt.edu/Faculty/benos/

Research Summary

We are a computational group specializing in applications of machine learning in medicine. Our ultimate goal is to identify risk factors and mechanisms affecting aging and contributing to the onset and progression of chronic diseases and cancer. We also develop predictive methods and tools that can directly improve health. We use probabilistic graphical models and other machine learning methods to integrate and mine high-dimensional, multi-modal biomedical data and to investigate biological processes pertinent to health and disease.

Recent Publications
Raghu VK, Zhao W, Pu J, Leader JK, Wang R, Herman J, Yuan J-M, Benos PV, Wilson DO (2019) Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models Thorax. 74: 643-649

Morse C, Tabib T, Sembrat J, Buschur K, Bittar HT, Valenzi E, Jiang Y, Kass DJ, Gibson K, Chen W, Mora A, Benos PV, Rojas M, Lafyatis R (2019) Proliferating SPP1/MERTK-expressing macrophages in idiopathic pulmonary fibrosis European Respiratory Journal. 54: 1802441

Sedgewick AJ, Buschur K, Shi I, Ramsey JD, Raghu VK, Manatakis DV, Zhang Y, Bon J, Chandra D, Karoleski C, Sciurba FC, Spirtes P, Glymore C, Benos PV (2019) Mixed Graphical Models for Integrative Causal Analysis with Application to Chronic Lung Disease Diagnosis and Prognosis Bioinformatics. 35: 1204-1212
Grants
Project title Proj Start Date Proj End Date Funding Source
Systems Biology of Diffusion Impairment in HIV 8/1/2018 5/31/2022 NHLBI-R01
Mapping age-related changes in the lung 9/20/2019 6/30/2023 NHLBI-U01
Genomic Analysis of Tissue and Cellular Heterogeneity in IPF 8/14/2015 5/31/2020 NHLBI-R01
Systems Level Causal Discovery in Heterogeneous TOPMed Data 4/18/2017 3/31/2020 NIH-U01
Integrative Graphical Models for Large Multi-Modal Biomedical Data 6/1/2016 5/31/2020 NLM-R01
Immunoprevention and immunosurveillance of human non-viral cancers 8/1/2016 7/31/2023 NIH-R35