Patrick Cahan, MS, PhD
Highlights
Languages
- English
Johns Hopkins Affiliations:
- Johns Hopkins School of Medicine Faculty
About Patrick Cahan
Primary Academic Title
Associate Professor of Biomedical Engineering
Background
Patrick Cahan received a B.S. in Computer Science from University of Maryland, Baltimore County, a M.S. in Genomics and Bioinformatics at George Washington University, and a Ph.D. in Computational Biology from Washington University in St. Louis. His postdoctoral training at Harvard Medical School and Boston Children’s Hospital focused on the development and experimental validation of computational methods to assess and improve engineered cells, such as those resulting from directed differentiation of pluripotent stem cells.
X (Twitter)
Videos
Recent News Articles and Media Coverage
Study Adds to Evidence That Most Cancer Cells Grown in a Dish Have Little in Common Genetically with Cancer Cells in People Newsroom (June 17, 2021)
Additional Academic Titles
Assistant Professor of Molecular Biology and Genetics
Research Interests
Computational Biology, Single Cell Genomics, Stem Cell Engineering
Lab Website
Cahan Laboratory - Lab Website
We focus on stem cell biology and cell fate engineering, with an emphasis on the development and diseases of the synovial joint. We invent computational tools to improve our understanding of development and to improve our ability to engineer cell fate and function, and we experimentally validate and apply these tools.
Selected Publications
Cahan P, Treutlein B. A conversation with ChatGPT on the role of computational systems biology in stem cell research. Stem Cell Reports. 22023 Jan 10;18(1):1-2 PMID: 36630899
Bian Q, Cheng YH, Wilson JP, Su EY, Kim DQ, Yoo S, Blackshaw S, Cahan P. A single cell transcriptional atlas of early synovial joint development. Development. 2020 June 20;147(14):dev185777 PMID: 32580935
Peng D*, Gleyzer R*, Tai WH, Kumar P, Bian Q, Isaacs B, Rocha EL, Cai S, DiNapoli K, Huang FW, Cahan P. Evaluating the transcriptional fidelity of cancer models. Genome Medicine 2021 Apr 13;73. PMID: 33926541
Su EY*, Spangler A*,Bian Q, Kasamoto JY, Cahan P. Reconstruction of dynamic regulatory networks reveals signaling-induced topology changes associated with germ layer specification. Stem Cell Reports. 2022 Jan 10 PMID: 35090587
Tan Y and Cahan P. SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species. Cell Systems. 2019 Jul 17. pii: S2405-4712(19)30199-1. PMID: 31377170
Courses & Syllabi
Computational Stem Cell Biology, Johns Hopkins University, 580.447/647 (see https://compscbio.github.io)
Honors
- Johns Hopkins Catalyst Award, Johns Hopkins University, 5/4/22
- Rising Star BMES Cellular and Molecular Bioengineering, Biomedical Engineering Society, 1/1/19
- Discovery Innovation Award, The Johns Hopkins University School of Medicine, 11/11/17