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.
Appointments
Medical Oncology and Hematology
Assistant Professor AdjunctPrimary
Other Departments & Organizations
- All Institutions
- Internal Medicine
- Medical Oncology and Hematology
- Pusztai Lab
Education & Training
- Assistant Professor
- Slesian University of Technology (2017)
- Research Assistant
- Silesian University of Technology (2014)
- Young specialist in biostatistics
- Medical University of Gdansk (2013)
- 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
David Rimm, MD, PhD
Mariya Rozenblit, MD
Naing Lin Shan, MBBS, PhD, MS
Algorithms
Computational Biology
Publications
2026
dpGMM: 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 ResearchConceptsGaussian mixture modelGaussian mixture componentsPartitioning of dataLarge-scale computationsExisting solutionsDensity estimation methodM-stepMixture modelDPGMMR packageBiological datasetsConvergence of iterationsEstimation methodMixture parametersRate of convergence of iterationsScenariosAlgorithmDatasetInformation criterionComputerDataIterationMixture componentsRecursionImplementationFUNCellA: 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 DOI: 10.34133/csbj.0053.Peer-Reviewed Original ResearchMutational landscape of normal breast tissues adjacent to invasive breast cancer
Suwalska A, Rozenblit M, Harigopal 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 ResearchAltmetricMeSH Keywords and ConceptsConceptsNormal breast tissueBreast cancerSingle-base substitutionsHistory of breast cancerSomatic mutationsBreast tissueSamples of peripheral bloodCancer-adjacent normal breast tissueCancer-predisposing genesCancer hallmark pathwaysCancer-related genesYears of agePeripheral bloodCancer-relevant pathwaysImpact of variantsNormal breastGermline mutationsMalignant transformationMutation profilesCancer riskIndependent cohortHallmark pathwaysCancerTissue typesRare polymorphism
2025
Reducing technical variability in image analyses of haematoxylin and eosin stained tissues
Merta J, Pietrus M, Gawron I, Marczyk M. Reducing technical variability in image analyses of haematoxylin and eosin stained tissues. Bio-Algorithms And Med-Systems 2025, 21: 33-44. DOI: 10.5604/01.3001.0055.5415.Peer-Reviewed Original ResearchCIRCA: comprehensible online system in support of chest X-rays-based screening by COVID-19 example
Prazuch W, Suwalska A, Socha M, Tobiasz J, Foszner P, Jaroszewicz J, Gruszczynska K, Sliwinska M, Nowak M, Gizycka B, Zapolska G, Popiela T, Przybylski G, Fiedor P, Pawlowska M, Flisiak R, Simon K, Walecki J, Cieszanowski A, Szurowska E, Marczyk M, Polanska J. CIRCA: comprehensible online system in support of chest X-rays-based screening by COVID-19 example. Scientific Reports 2025, 15: 42732. PMID: 41315612, PMCID: PMC12663097, DOI: 10.1038/s41598-025-26895-0.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsPoor generalizationSupervised deep learning techniquesTest setDeep learning techniquesPrediction qualityConvolutional networkPneumonia classesData annotationClassification accuracyLearning techniquesDecision systemData heterogeneityDiverse datasetsOnline systemIndependent test setLung segmentationSupport systemCOVID-19 examplePrediction systemClassificationAccuracyX-rayTowards Development of Natural Language Processing Model to Support Infertility Treatment Planning in Poland
Zamojski D, Pudelko A, Gajewska-Kucharek A, Marczyk M. Towards Development of Natural Language Processing Model to Support Infertility Treatment Planning in Poland. Lecture Notes In Computer Science 2025, 16050: 278-291. DOI: 10.1007/978-3-032-08455-2_21.Peer-Reviewed Original ResearchConceptsNatural language processingDeep learningElectronic health recordsNatural language processing modelsText classification modelLanguage processing modelsPre-processed dataMedical corpusLanguage processingClassification modelDL modelsWord collectionsHealth recordsLanguage corporaStages of infertility treatmentMedical informationProcess modelCorpusResults interpretationInformationBlood–Brain Barrier Penetration of Novel 4-Trifluoromethyl-Coumarin Hybrids with Antibacterial Properties as Potential Brain Therapeutics in the Context of Spatially Diverse Healthcare Systems
Kowalczyk P, Koszelewski D, Misztal T, Szlis M, Młotkowska P, Gołębiewski M, Głowacz K, Kocot M, Marczyk M, Wypych A, Kurylczyk A, Krajewska-Pędzik A, Ostaszewski R. Blood–Brain Barrier Penetration of Novel 4-Trifluoromethyl-Coumarin Hybrids with Antibacterial Properties as Potential Brain Therapeutics in the Context of Spatially Diverse Healthcare Systems. International Journal Of Molecular Sciences 2025, 26: 9655. PMID: 41096919, PMCID: PMC12525028, DOI: 10.3390/ijms26199655.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsBlood-cerebrospinal fluid barrierBlood-brain barrierCentral nervous systemBlood-brain barrier penetrationMinimum bactericidal concentrationMinimum inhibitory concentrationCerebrospinal fluidCentral nervous system infectionEffective treatmentTreatment of central nervous systemAntimicrobial agentsPituitary gonadotrope cellsBlood to cerebrospinal fluidAntimicrobial activityBALB/c 3T3 mouse fibroblastsIn vivo studiesSafety profileFluid barrierBlood-BrainGonadotrope cellsBiological barriersBactericidal concentrationTherapeutic agentsNervous systemBrain therapeutics304PA general-purpose self-supervised AI model for quantitative analysis of H&E-stained muscle biopsy specimens' whole-slide images
Marczyk M, Schoser B, Dreyling C, Santorelli F, Dal Canto F, Tupler R, Polanska J. 304PA general-purpose self-supervised AI model for quantitative analysis of H&E-stained muscle biopsy specimens' whole-slide images. Neuromuscular Disorders 2025, 53: 105552. DOI: 10.1016/j.nmd.2025.105552.Peer-Reviewed Original ResearchConceptsWhole slide imagesAI modelsSize of whole slide imagesConstruction of AI modelsArtificial intelligenceGaussian mixture modelPre-processing stepAI model developmentAI-based methodsK-means clusteringConvolutional autoencoderEncoder outputResidual connectionsWhole-slide imagesHereditary neuromuscular diseaseK-meansHistopathological imagesNumerical featuresTraining modelIndividual imagesMixture modelSlide imagesHybrid approachClinical characterizationPrediction of patient responseA comprehensive evaluation of diversity measures for TCR repertoire profiling
Mika J, Polanska A, Blenman K, Pusztai L, Polanska J, Candéias S, Marczyk M. A comprehensive evaluation of diversity measures for TCR repertoire profiling. BMC Biology 2025, 23: 133. PMID: 40369611, PMCID: PMC12080070, DOI: 10.1186/s12915-025-02236-5.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsHSPA2 influences the differentiation and production of immunomodulatory mediators in human immortalized epidermal keratinocyte lines
Gogler A, Wilk A, Sojka D, Adamiec-Organiściok M, Matysiak N, Kania D, Wiecha K, Małusecka E, Cortez A, Zamojski D, Marczyk M, Mazurek A, Oziębło S, Scieglinska D. HSPA2 influences the differentiation and production of immunomodulatory mediators in human immortalized epidermal keratinocyte lines. Cell Death & Disease 2025, 16: 344. PMID: 40287440, PMCID: PMC12033329, DOI: 10.1038/s41419-025-07565-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsChaperone proteinsKeratinocyte differentiationCell type-specific expression patternsHomologous chaperone proteinsEpidermal keratinocyte differentiationInterferon-mediated signalingInterferon-stimulated genesControl proteostasisExtracellular secretionTranscriptome analysisMolecular machineryKeratinocyte differentiation markersHSPA2Upper epidermal layersDifferentiation defectsExpression patternsSomatic cellsMolecular networksPro-inflammatory IL-6 cytokinePotential therapeutic targetFunctional analysisSecretion of IL-6Keratinocyte linePathogenic factorsReduced levels
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- 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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