Adjunct faculty typically have an academic or research appointment at another institution and contribute or collaborate with one or more School of Medicine faculty members or programs.
Adjunct rank detailsMichal Marczyk, PhD
Assistant Professor AdjunctAbout
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Titles
Assistant Professor Adjunct
Biography
Michal Marczyk defended his PhD in biocybernetics and biomedical engineering in 2013 (Silesian University of Technology). His area of research interests focuses on bioinformatics and exploratory analysis of biological and medical data in cancer research. As part of his doctoral thesis, he created tools for analysis of DNA microarrays and MALDI-ToF mass spectra. Then he worked on new techniques for processing, detection and modeling of protein spots on 2D electrophoresis gels, and he was involved in the analysis of clinical data of patients with various cancers in terms of seeking disease biomarkers or negative effects of therapy. Currently, he is working on the analysis of data from sequencing of human genome (ATAC-seq, Bisulfite seq., whole genome seq.) and transcriptome (RNA-seq, single-cell RNA-seq) in translational research in oncology to search for drug candidates and improve cancer therapies.
Michal Marczyk is a co-author of 21 papers published in impact factor journals, 17 publications in other journals and over 60 conference abstracts mainly on international meetings. Michal Marczyk is currently receiving a scholarship from the Minister of Science and Higher Education of Poland for outstanding young scientists. He was also awarded the DoktoRIS scholarship from the program for an innovative Silesia co-financed by the EU. During doctoral studies he received a scholarship for the best PhD students.
Departments & Organizations
Education & Training
- Assistant Professor
- Slesian University of Technology (2017)
- Research Assistant
- Silesian University of Technology (2014)
- PhD
- Silesian University of Technology (2013)
- MSc
- Silesian University of Technology (2008)
Research
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Overview
Medical Research Interests
ORCID
0000-0003-2508-5736
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Lajos Pusztai, MD, DPhil
Kim Blenman, PhD, MS
Andrea Silber, MD
Mariya Rozenblit, MD
Naing Lin Shan, MBBS, PhD, MS
David Rimm, MD, PhD
Algorithms
Computational Biology
Publications
2026
A Practical Workflow for Correcting Kit-Specific Effects in Whole-Exome Sequencing Data
Jarosz L, Ochocki M, Merta J, Pusztai L, Marczyk M. A Practical Workflow for Correcting Kit-Specific Effects in Whole-Exome Sequencing Data. Methods And Protocols 2026, 9: 125. DOI: 10.3390/mps9050125.Peer-Reviewed Original ResearchTime-dependent prognostic impact of tumor grade in stage I-III breast cancers
Mariani M, Ochocki M, Bianchini G, Marczyk M, Pusztai L. Time-dependent prognostic impact of tumor grade in stage I-III breast cancers. ESMO Open 2026, 11: 108352. PMID: 42600241, PMCID: PMC13499216, DOI: 10.1016/j.esmoop.2026.108352.Peer-Reviewed Original ResearchAltmetricInhibition of Acetyl-CoA-carboxylase induces endoplasmic reticulum stress and augments the efficacy of anti-cancer therapies.
Shan N, Balinda H, Dai J, Wang Y, Lin H, Marczyk M, Espinoza Campos G, Umlauf S, McDermott M, Colorado I, Lang S, Surovtseva Y, Feinman R, Slamon D, Blenman K, Yan Q, Muthusamy V, Brenner A, Pusztai L. Inhibition of Acetyl-CoA-carboxylase induces endoplasmic reticulum stress and augments the efficacy of anti-cancer therapies. Clinical Cancer Research 2026, of1-of13. PMID: 42545737, DOI: 10.1158/1078-0432.ccr-26-1028.Peer-Reviewed Original ResearchAltmetricPatient-centric Development of Shared Decision-making Aids: The ASSESS Online Personalized Early Breast Cancer Treatment Decision Support Tool and Resource Website.
Kerr B, Alexander J, Zhao H, Marczyk M, Crocker L, Erwin A, Kuhn E, Baker H, Vaidhyanath S, Polischuk T, Sabelko K, Pusztai L, Giordano S, Volk R, Zinser G. Patient-centric Development of Shared Decision-making Aids: The ASSESS Online Personalized Early Breast Cancer Treatment Decision Support Tool and Resource Website. European Journal Of Breast Health 2026, 22: 12. PMID: 42317091.Peer-Reviewed Original ResearchFunctional germline variants together with somatic mutations alter the integrity of cancer hallmark regulatory networks
Dai J, Posta M, Marczyk M, Qing T, Gyorffy B, Pusztai L. Functional germline variants together with somatic mutations alter the integrity of cancer hallmark regulatory networks. Genome Medicine 2026, 18: 59. PMID: 42057121, PMCID: PMC13151107, DOI: 10.1186/s13073-026-01644-8.Peer-Reviewed Original ResearchAltmetricThe precision revolution: Machine learning and the future of personalized therapy in hematologic malignancies
Xu L, Li Y, Marczyk M, Łos M. The precision revolution: Machine learning and the future of personalized therapy in hematologic malignancies. European Journal Of Pharmacology 2026, 1023: 178884. PMID: 41997404, DOI: 10.1016/j.ejphar.2026.178884.Commentaries, Editorials and LettersdpGMM: A new R package for efficient and robust Gaussian mixture modeling of 1D and 2D data
Zyla J, Szumala K, Polanski A, Polanska J, Marczyk M. dpGMM: A new R package for efficient and robust Gaussian mixture modeling of 1D and 2D data. Journal Of Computational Science 2026, 95: 102811. DOI: 10.1016/j.jocs.2026.102811.Peer-Reviewed Original ResearchCitationsFUNCellA: A Tool for Single-Sample Enrichment Analysis and Relative Pathway Activity Estimation in Single-Cell RNA Sequencing Data
Zyla J, Mrukwa A, Bilska A, Szumala K, Polanska J, Marczyk M. FUNCellA: A Tool for Single-Sample Enrichment Analysis and Relative Pathway Activity Estimation in Single-Cell RNA Sequencing Data. Computational And Structural Biotechnology Journal 2026, 35: 0053. PMID: 42021835, PMCID: PMC13096679, DOI: 10.34133/csbj.0053.Peer-Reviewed Original ResearchMutational landscape of normal breast tissues adjacent to invasive breast cancer
Suwalska A, Rozenblit M, Dai J, Liu M, Townsend J, Marczyk M, Pusztai L. Mutational landscape of normal breast tissues adjacent to invasive breast cancer. Cell Reports Medicine 2026, 7: 102543. PMID: 41512875, PMCID: PMC12866091, DOI: 10.1016/j.xcrm.2025.102543.Peer-Reviewed Original ResearchCitationsAltmetricKit-Specific and Other Non-Biological-Based Biases in Germline Whole-Exome Analysis at the Gene Level
Jarosz L, Dai J, Ochocki M, Merta J, Pusztai L, Marczyk M. Kit-Specific and Other Non-Biological-Based Biases in Germline Whole-Exome Analysis at the Gene Level. 2026, 487-496. DOI: 10.5220/0014309600004070.Peer-Reviewed Original ResearchCitations
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News
- November 08, 2022
Biomarkers could determine the need for chemotherapy in young patients with ER+ breast cancer
- August 11, 2022
Discoveries & Impact (August 2022)
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