Matthew T Patrick, PhD, MEng
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About
Matthew Patrick, MEng, PhD is a Research Assistant Professor of Dermatology at the University of Michigan Medical School, and is a member of the Cutaneous Bioinformatics Research Program. Dr. Patrick is pursuing research focused upon translational bioinformatics, particularly on providing biological inference from high dimensional data for dermatological research.
Dr. Patrick received his PhD in Computer Science from University of York in the United Kingdom in 2013. He completed postdoctoral research training in Epidemiology and Modelling at the University of Cambridge before joining the U-M Department of Dermatology in 2016 as a postdoctoral research fellow working with Dr. Lam C. (Alex) Tsoi in the Cutaneous Bioinformatics Program. He joined the U-M Department of Dermatology faculty in 2020.
Qualifications
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PhD in Computer ScienceDepartment of Computer Science, University of York, York, United Kingdom
2009 - 2014
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MEng in Computer Systems and Software EngineeringDepartment of Computer Science, University of York, United Kingdom
2004 - 2009
Center Memberships
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Center MemberAI and Digital Health Innovation
Research Overview
- Applying mathematical, statistical and computational approaches to understand the behaviours of complex systems.
- Using advanced machine learning and optimisation techniques to address challenging problems.
- Testing and evaluating the implications of data and software quality for scientific research.
Recent Publications
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Bogle R, Balaji A, Lee H, Cha H, Coon A, Dong Y, Wu Y, Cai Y, Zhang H, Qin T, Patrick M, Sarkar MK, Gudjonsson JE, Duan B, Tsoi L. Journal of Investigative Dermatology, 2026 Jul 22; 146 (8): s19Proceeding / Abstract / Poster0108 IL-31–induced EDN2 links keratinocytes to sensory neuron activation in prurigo nodularis
DOI:10.1016/j.jid.2026.06.139 -
Patrick M, Stuart P, Kodati S, Kahlenberg M, Elder JT, Gudjonsson JE, Tsoi LC. Journal of Investigative Dermatology, 2026 Jul 22; 146 (8): s108Journal Article0627 MAP3K14-dependent stromal inflammation explains shared susceptibility to psoriasis and uveitis
DOI:10.1016/j.jid.2026.06.658 -
Chen L, Maria D, Meednu N, Bogle R, Patrick M, Anolik J, Liao W, Scher JU, Tsoi L, Ritchlin C, Gudjonsson JE. Journal of Investigative Dermatology, 2026 Jul 22; 146 (8): s186Journal ArticleLB1081 Tissue-biased T-cell states and shared TCR motifs link psoriasis skin lesions to psoriatic arthritis
DOI:10.1016/j.jid.2026.06.1112 -
Shaked G, Qin T, Bogle R, Patrick M, Polak ME, Waterworth D, Cuff C, Miller L, Sabins N, Maverakis E, Billi AC, Gudjonsson JE, Tsoi L. Journal of Investigative Dermatology, 2026 Jul 23; 146 (8): s189Proceeding / Abstract / PosterLB1095 Single-cell reference-guided imputation enhances accuracy of gene coverage in targeted spatial transcriptomics
DOI:10.1016/j.jid.2026.06.1126 -
Zhang H, Stuart P, Li Q, Patrick M, Varga J, Kahlenberg M, Khanna D, Gudjonsson JE, Tsoi L. Journal of Investigative Dermatology, 2026 Jul 22; 146 (8): s204Journal ArticleLB1169 Genetic risk for systemic sclerosis is mediated through context-dependent regulation of fibroblast inflammatory responses
DOI:10.1016/j.jid.2026.06.1200 -
Zhang H, Patrick MT, Sarkar MK, Bogle R, Li Q, Uppala R, Perez White BE, Petukhova L, Dand N, Stuart PE, Christiano AM, Simpson MA, Barker JN, Weidinger S, Modlin RL, Betz RC, Khanna D, Varga J, Kahlenberg JM, He K, Elder JT, Zhou X, Gudjonsson JE, Tsoi LC. J Allergy Clin Immunol, 2026 May 26;Journal ArticleMulti-cytokine based TWAS for seven inflammatory skin disorders identify candidate causal genes in keratinocytes.
DOI:10.1016/j.jaci.2026.05.013 PMID: 42203178 -
Zhou R, Chaskar P, Patrick MT, Wang K, Piketty C, Julia V, Gudjonsson JE, Krishnaswamy JK, Tsoi LC. Journal of Investigative Dermatology, 2026 Jan 1; 146 (1): 283 - 287.e11.Journal ArticleNemolizumab Treatment Normalizes Dysregulated Microbiome in Lesional Prurigo Nodularis
DOI:10.1016/j.jid.2025.06.1575 PMID: 40571154 -
Dand N, Stuart PE, Bowes J, Ellinghaus D, Nititham J, Saklatvala JR, Teder-Laving M, Thomas LF, Traks T, Uebe S, Assmann G, Baudry D, Behrens F, Billi AC, Brown MA, Burkhardt H, Capon F, Chung R, Curtis CJ, Duckworth M, Ellinghaus E, FitzGerald O, Gerdes S, Griffiths CEM, Gulliver S, Helliwell PS, Ho P, Hoffmann P, Holmen OL, Huang ZM, Hveem K, Jadon D, Köhm M, Kraus C, Lamacchia C, Lee SH, Ma F, Mahil SK, McHugh N, McManus R, Modalsli EH, Nissen MJ, Nöthen M, Oji V, Oksenberg JR, Patrick MT, Perez White BE, Ramming A, Rech J, Rosen C, Sarkar MK, Schett G, Schmidt B, Tejasvi T, Traupe H, Voorhees JJ, Wacker EM, Warren RB, Wasikowski R, Weidinger S, Wen X, Zhang Z, Siebert S, Schofield J, McAteer H, Brown SJ, Smith CH, Burden AD, Nelis M, Milani L, Metspalu A, Barton A, Chandran V, Esko T, Foerster J, Franke A, Gladman DD, Gudjonsson JE, Gulliver W, Hüffmeier U, Kingo K, Kõks S, Liao W, Løset M, Mägi R, Nair RP, Rahman P, Reis A, Di Meglio P, Barker JN, Tsoi LC, Simpson MA, Elder JT. Nature Communications, 2025 Dec 1; 16 (1):Journal ArticleGWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets
DOI:10.1038/s41467-025-56719-8 PMID: 40021644
