Joseph Daniel Romano, PhD, MPhil, MA
Assistant Professor of Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology
Graduate Group Affiliations
Contact information
403 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
423 Guardian Drive
Philadelphia, PA 19104
Office: 215-573-5571
Publications
Education:
B.S. (Molecular Genetics)
University of Vermont, 2014.
M.A. (Biomedical Informatics)
Columbia University, 2016.
MPhil (Biomedical Informatics)
Columbia University, 2018.
PhD (Biomedical Informatics)
Columbia University, 2019.
B.S. (Molecular Genetics)
University of Vermont, 2014.
M.A. (Biomedical Informatics)
Columbia University, 2016.
MPhil (Biomedical Informatics)
Columbia University, 2018.
PhD (Biomedical Informatics)
Columbia University, 2019.
Links
Search PubMed for articles
Joseph D. Romano - Google Scholar profile
Joseph D. Romano - Personal Website
The Romano Lab at the University of Pennsylvania
Permanent linkSearch PubMed for articles
Joseph D. Romano - Google Scholar profile
Joseph D. Romano - Personal Website
The Romano Lab at the University of Pennsylvania
Selected Publications
Romano JD, Li H, Napolitano T, Realubit R, Karan C, Holford M, & Tatonetti NP: Discovering venom-derived drug candidates using differential gene expression. bioRxiv(699280), June 2023 Notes: bioRxiv preprint ahead of full publication.Romano JD, Mei L, Senn J, Moore JH, & Mortensen HM: Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science. Computational Toxicology. Elsevier, 25: 100261, February 2023.
Romano JD, Truong V, Kumar R, Venkatesan M, Graham BE, Hao Y, Matsumoto N, Li X, Wang Z, Ritchie M, Shen L, & Moore JH: The Alzheimer's Knowledge Base - A knowledge graph for therapeutic discovery in Alzheimer's Disease research. JMIR Preprints February 2023 Notes: (Preprint - currently in review for full publication).
Hao Y, Romano JD, & Moore JH: Knowledge Graph Aids Comprehensive Explanation of Drug and Chemical Toxicity. CPT: Pharmacometrics & Systems Pharmacology 2023 Notes: (In press).
Romano JD: Omics Methods in Toxins Research—A Toolkit to Drive the Future of Scientific Inquiry. Toxins 14(11): 761, November 2022.
Manduchi E, Romano JD, & Moore JH: The promise of automated machine learning for the genetic analysis of complex traits. Human Genetics 141(9): 1529–1544, September 2022.
Hao Y, Romano JD, & Moore JH: Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns 3(9), August 2022.
Romano JD, Hao YH, Moore JH, & Penning T: Automating toxicological knowledge discovery using ComptoxAI. Chemical Research in Toxicology 35(8): 1370-1382, July 2022.
Romano JD: ComptoxAI - Tutorial - Neo4j Graph Database Browser. YouTube June 2022 Notes: Instructional video/tutorial available online at: https://youtu.be/WIzEGjfzGQQ. Online publication only.
Hao Y, Romano JD, & Moore JH: Knowledge-Guided Deep Learning Models of Drug Toxicity Improve Interpretation. Society of Toxicology Annual Meeting & ToxExpo March 2022 Notes: Peer-reviewed abstract and poster presented at conference; First Place, "Top 10 Best SOT-CTSS Abstract Award Competition"