I’m a radiation oncologist and researcher with a particular interest in data science (biostatistics, data mining/machine learning), bioinformatics, molecular biomarkers, and radiomics. I focus on the implementation of artificial intelligence in oncology. My clinical interests focus on urinary (bladder, prostate) and gastrointestinal cancers (rectal).

1 Employment history

2 Education

2.1 Internships

  • 2022-2023: Bekker NAWA (6 months) research fellowship in Dana-Farber Cancer Institute/Harvard Medical School/Broad Institute of MIT and Harvard, Boston, MA, USA (reference: Kent Mouw, M.D., Ph.D.)
  • 2016: ERAMSUS+ research internship at EPSRC Centre For Mathematical And Statistical Analysis Of Multimodal Clinical Imaging, University of Cambridge, Cambridge, UK (reference: Prof. John Aston, Ph.D.)
  • 2015: IFMSA research exchange (6 weeks), Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), Upstate Medical University, Syracuse, NY, USA (reference: Stephen J. Glatt, Ph.D.)
  • 2014: neurosurgical clinical clerkship (3 weeks), University Hospital Southampton NHS Trust, Southampton, UK (reference: Paul Grundy, M.D.)
  • 2013: medical clinical clerkship (4 weeks), Mubarak Al Kabeer Hospital, Kuwait City, Kuwait (reference: Ibrahim T. Lasheen, M.D.)

3 Funded research projects

  • 2023 - still: ERA PerMed Consortium (Joint Transnational Call 2022), miRPOC - miRNA as biomarkers in early detection and personalised treatment in ovarian cancer, ~1 000 000 EUR [Partner PI at Medical University of Lodz; consortium with Cancer Registry of Norway/Oslo University Hospital, German Cancer Research Center and Brigham and Women’s Hospital/Harvard Medical School]
  • 2019 - 2022: NCN PRELUDIUM [ID: UMO-2018/29/N/NZ5/02422], Deep artificial neural networks in the integration of the expression profile of circulating and intracellular miRNA molecules in pancreatic cancer patients., 209 860 PLN [PI]
  • 2014 - 2015: Ministry of the Interior Generation of the Future [ID: MNiSw/2014/DIR/379/GPII], PancreApp: application of the eight-dimensional Shepard approximation in the individualization of nutritional recommendations, with particular emphasis on chronic pancreatitis, PLN 37,800 [PI]
  • 2017 - 2018: Specialist in bioinformatics and medical informatics (building an internet platform to collect data for the research purposes of the project) in the project “Lodz Program for HNSCC Prevention” [ID: POWR.05.01.00-00-0011/16] co-financed by the European Union as part of the European Social Fund (European Social Fund, 1 792 260 PLN) 2019-2021: Researcher in the study “Predictive Biomarkers of Radiation Toxicity (PBRTox)” [ID: POIR.04.04.00-00-2280/16] under the supervision of prof. Wojciech Fendler (Foundation for Polish Science; 1 999 651 PLN) 2014-2016: Researcher in the study “Profile of circulating microRNAs in the diagnosis of rare forms of diabetes” [ID: 2012/05/E/NZ5/02130] under the supervision of prof. Wojciech Fendler (NCN SONATA BIS; 1 489 800 PLN)

4 Patents and commercializations

  • CA3223723A1, entitled “Circulating microrna signatures for pancreatic cancer”
  • EP3565903 and US20200123614A1, entitled “CIRCULATING MICRORNA SIGNATURES FOR OVARIAN CANCER”; commercialized (license agreement A15876-ELA-ASPIRA with Aspira Women Health)

5 Selected awards and scholarships

  • 2022: Best biostatistics Ph.D. thesis in 2021 (Awarded by StatSoft Polska).
  • 2022: Implementation Activity Award of Polish Ministry of Science, for work involving the implementation of a diagnostic tests based on free-circulating microRNAs into clinical practice.
  • 2021: Scholarship of Polpharma Scientific Foundation for best Ph.D. students.
  • 2020: Scholarship for the best Ph.D. students at the Medical Univeristy of Lodz.
  • 2019: Scholarship for the best Ph.D. students at the Medical Univeristy of Lodz.
  • 2018: Scholarship for the best Ph.D. students at the Medical Univeristy of Lodz.
  • 2017: Scholarship for the best Ph.D. students at the Medical Univeristy of Lodz.
  • 2016: Scholarship for the best Ph.D. students at the Medical Univeristy of Lodz.
  • 2016: Scholarship of the City of Lodz for the best Ph.D. students.
  • 2016: Winner of Adzduna’s polish „Graduate of the Year” contest.
  • 2015: Scholarship of Minister of Science and Higher Education & Minister of Health of Republic of Poland for outstanding achievements for students in the academic year 2015/2016.
  • 2015: Scholarship of Marshal of the Lodzkie Region (highest degree)
  • 2014: Distinction in a nationwide competition “Studencki Nobel” (Eng. “Student’s Nobel Prize”).
  • 2014: Special Award for the Youngest Winner of the Session at the conference 10. International & 52. Polish Training & Scientific Medical Congress of Students’ Scientific Societies and Junior Doctors “Juvenes Pro Medicina” 2014 in Łódź (founder: Aldona Ochęcka-Szymańska M.D., Ph.D.)
  • 2013: Scholarship of Minister of Science and Higher Education of Republic of Poland for outstanding achievements for students in the academic year 2013/2014;

6 Research

6.1 Bibliometrics

H-index according to Google Scholar: 14
(citations = 672; papers/abstracts = 72)

Barplots show the trends in number of citations (based on Google Scholar) and publications.

Barplots show the trends in number of citations (based on Google Scholar) and publications.

6.2 Research papers

  • A Puła, T Robak, I Dróżdż, K Stawiski, A Rycerz, M Misiewicz, P Robak Circulating serum microRNAs as biomarkers of drug resistance in multiple myeloma patients treated with bortezomib-based regimens–pilot study Leukemia & Lymphoma 2024:65 (2), 257-264 [citations: 1]
  • Z Nowicka, K Kuna, M Łaszczych, M Łazar-Poniatowska, BK Sobocki, … Dose-volume metric-based prediction of radiotherapy-induced lymphocyte loss in patients with non-small-cell lung cancer treated with modern radiotherapy techniques Physics and Imaging in Radiation Oncology 2024:100593 [citations: 0]
  • BA Łochowska, K Stawiski, K Kuna, Z Nowicka, M Lochowski, J Fijuth Predicting of overall survival in non-small cell lung cancer patients receiving concurrent radiochemotherapy and adjuvant durvalumab–a Polish real-world single-center experience Nowotwory. Journal of Oncology 2024: [citations: 0]
  • D Mikulski, M Nowicki, I Dróżdż, E Perdas, P Strzałka, K Kościelny, … MicroRNAs predict early complications of autologous hematopoietic stem cell transplantation Biomarker Research 2024:12 (1), 42 [citations: 0]
  • P Brady, A Yousif, N Sasamoto, AF Vitonis, W Fendler, K Stawiski, … Plasma microRNA expression in adolescents and young adults with endometriosis: the importance of hormone use Frontiers in Reproductive Health 2024:6, 1360417 [citations: 0]
  • F Mohammed, K Stawiski, HS Musa, SK Owolabi, S Abubakar, SO Rotimi, … Co-expression of HERV-R, CCND1, BRAF, FOXA1, TMPRSS2, ATF4 and low expression of BAZ1B and KMT2D is associated with early detection and poor prognosis of prostate cancer in … Cancer Research 2024:84 (6_Supplement), 6432-6432 [citations: 0]
  • FLF De Carvalho, J Lee, K Bi, B Titchen, K Stawiski, J Park, A Garza, … Tumor-immune interactions and cisplatin resistance in localized muscle-invasive bladder cancer Cancer Research 2024:84 (6_Supplement), 7041-7041 [citations: 0]
  • Z Nowicka, K Kuna, K Stawiski, J Sołek, M Świderek, A Papis‐Ubych, … Extreme acute radiation‐induced toxicity in a patient with polymorphous low‐grade adenocarcinoma of the nasopharynx and rare variants in DNA repair genes Head & Neck 2024:46 (2), E10-E17 [citations: 0]
  • K Elias, U Smyczynska, K Stawiski, Z Nowicka, J Webber, J Kaplan, … Identification of BRCA1/2 mutation female carriers using circulating microRNA profiles Nature Communications 2023:14 (1), 3350 [citations: 7]
  • Z Nowicka, B Tomasik, D Kozono, K Stawiski, T Johnson, D Haas-Kogan, … Serum miRNA-based signature indicates radiation exposure and dose in humans: a multicenter diagnostic biomarker study Radiotherapy and Oncology 2023:185, 109731 [citations: 4]
  • Y Zhou, J Börcsök, E Adib, SC Kamran, AJ Neil, K Stawiski, D Freeman, … ATM deficiency confers specific therapeutic vulnerabilities in bladder cancer Science advances 2023:9 (47), eadg2263 [citations: 3]
  • J Malinowski, W Pietruszewska, K Stawiski, M Kowalczyk, M Barańska, … High-speed videoendoscopy enhances the objective assessment of glottic organic lesions: a case-control study with multivariable data-mining model development Cancers 2023:15 (14), 3716 [citations: 2]
  • M Miszczyk, Ł Magrowski, T Krzysztofiak, R Stando, W Majewski, … Brachytherapy boost improves survival and decreases risk of developing distant metastases compared to external beam radiotherapy alone in intermediate and high risk group … Radiotherapy and Oncology 2023:183, 109632 [citations: 2]
  • D Chowdhury, KM Elias, W Fendler, K Stawiski Circulating microrna signatures for ovarian cancer US Patent App. 2023:17/810,495 [citations: 0]
  • K Stawiski, J Perera-Bel, A Rodriguez-Vida, NJ Rodero, KW Mouw, … Assessing tumor-infiltrating immune cells and outcomes with cisplatin-versus carboplatin-based treatment in advanced urothelial cancer (UC): Survival analysis of three platinum … Journal of Clinical Oncology 2023:41 (16_suppl), 4583-4583 [citations: 0]
  • M Masłowski, K Stawiski, A Zięba, D Mikulski, J Bednarek, J Fijuth Predicting neutropenia dynamics after radiation therapy in multiple myeloma patients receiving first-line bortezomib-based chemotherapy–a pilot study Biuletyn Polskiego Towarzystwa Onkologicznego Nowotwory 2023:8 (4), 274-283 [citations: 0]
  • M Jobczyk, K Stawiski, M Kaszkowiak, P Rajwa, W Różański, F Soria, … Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non–muscle-invasive Bladder Cancer European urology oncology 2022:5 (1), 109-112 [citations: 19]
  • K Mieczkowski, K Kitowska, M Braun, B Galikowska‐Bogut, … FGF7/FGFR2–JunB signalling counteracts the effect of progesterone in luminal breast cancer Molecular oncology 2022:16 (15), 2823-2842 [citations: 9]
  • K Stawiski, M Kaszkowiak, D Mikulski, P Hogendorf, A Durczyński, … OmicSelector: automatic feature selection and deep learning modeling for omic experiments BioRxiv 2022:2022.06. 01.494299 [citations: 9]
  • Ł Kuncman, M Orzechowska, K Stawiski, M Masłowski, M Ciążyńska, … The kinetics of FMS-related tyrosine kinase 3 ligand (Flt-3L) during chemoradiotherapy suggests a potential gain from the earlier initiation of immunotherapy Cancers 2022:14 (16), 3844 [citations: 7]
  • M Panek, K Stawiski, M Kaszkowiak, P Kuna Cytokine TGFβ gene polymorphism in asthma: TGF-related SNP analysis enhances the prediction of disease diagnosis (a case-control study with multivariable data-Mining model … Frontiers in Immunology 2022:13, 746360 [citations: 7]
  • M Miszczyk, J Rembak-Szynkiewicz, Ł Magrowski, K Stawiski, … The prognostic value of PI-RADS score in CyberKnife ultra-hypofractionated radiotherapy for localized prostate cancer Cancers 2022:14 (7), 1613 [citations: 4]
  • EJ Bobeff, M Bukowiecka-Matusiak, K Stawiski, K Wiśniewski, … Plasma amino acids may improve prediction accuracy of cerebral vasospasm after aneurysmal subarachnoid haemorrhage Journal of Clinical Medicine 2022:11 (2), 380 [citations: 4]
  • A Gockley, K Pagacz, S Fiascone, K Stawiski, N Holub, K Hasselblatt, … A translational model to improve early detection of epithelial ovarian cancers Frontiers in Oncology 2022:12, 786154 [citations: 3]
  • W Fendler, B Tomasik, K Atkins, K Stawiski, J Chałubińska-Fendler, … The clinician’s guide to radiotherapy complications Polskie Archiwum Medycyny Wewnętrznej 2022:132 (1) [citations: 2]
  • M Miszczyk, E Staniewska, I Jabłońska, A Lipka-Rajwa, K Stawiski, … Volumetric staging in radiotherapy for oropharyngeal cancers Tumori Journal 2022:108 (6), 586-591 [citations: 0]
  • K Stawiski, M Maslowski, W Maslowska, M Kordzinska, B Lochowska, … Clinical and Radiomics-Based Deep Learning Predictive Model for Early Treatment Failure after Neoadjuvant Radiochemotherapy for Rectal Cancer International Journal of Radiation Oncology, Biology, Physics 2022:114 (3), e150 [citations: 0]
  • M Miszczyk, J Ciepał, R Stando, O Masri, I Jabłońska, K Stawiski, … The Association between Dose Escalation and Risk of Developing Metastases in Intermediate and High-Risk Prostate Cancer Patients Treated with Radiotherapy International Journal of Radiation Oncology, Biology, Physics 2022:114 (3), e231 [citations: 0]
  • A Napieralska, J Bochenek-Cibor, A Chyrek, M Konkol, E Pawłowska, … Improving Education in Radiation Oncology in Poland International Journal of Radiation Oncology, Biology, Physics 2022:114 (1), e4-e5 [citations: 0]
  • S Kubik, D Jesionek-Kupnicka, K Stawiski, J Fijuth, … Clinical significance of CD34, podoplanin and Ki-67 expression in patients with locally advanced squamous cell cervical carcinoma Journal of Obstetrics and Gynaecology 2022:42 (6), 2248-2254 [citations: 0]
  • D Mikulski, M Nowicki, I Dróźdż, E Perdas, P Strzałka, K Kościelny, … Serum miRNA-based neural network models for predicting complications in patients receiving high-dose melphalan or BeEAM conditioning chemotherapy. Acta Haematologica Polonica 2022:53 [citations: 0]
  • EJ Bobeff, K Stawiski, PA Stanisławska, BJ Posmyk, K Wiśniewski, M Bryl, … Validation of the Elderly Traumatic Brain Injury Score: Observational Case Control Study World neurosurgery 2022:161, e464-e472 [citations: 0]
  • D Chowdhury, KM Elias, W Fendler, K Stawiski Circulating microRNA signatures for ovarian cancer US Patent 2022:11,214,839 [citations: 0]
  • M Panek, K Stawiski, M Kaszkowiak, P Kuna Cytokine TGFβ gene polymorphisms in asthma Frontiers in Immunology 2022:13 [citations: 0]
  • EJ Bobeff, M Bukowiecka-Matusiak, K Stawiski, K Wisniewski, … Kordzi nska J. Clin. Med 2022:11, 380 [citations: 0]
  • B Tomasik, A Papis-Ubych, K Stawiski, J Fijuth, P Kędzierawski, … Serum MicroRNAs as xerostomia biomarkers in patients with oropharyngeal cancer undergoing radiation therapy International Journal of Radiation Oncology Biology* Physics 2021:111 (5), 1237-1249* [citations: 13]
  • P Robak, D Jarych, D Mikulski, I Dróżdż, E Węgłowska, A Kotkowska, … The prognostic value of whole-blood PSMB5, CXCR4, POMP, and RPL5 mRNA expression in patients with multiple myeloma treated with bortezomib Cancers 2021:13 (5), 951 [citations: 11]
  • P Michał, S Konrad, K Piotr TGF-β gene polimorphisms as risk factors for asthma control among clinic patients Journal of Inflammation 2021:18, 1-12 [citations: 5]
  • L Lee, B Howitt, T Cheng, M King, K Stawiski, W Fendler, D Chowdhury, … MicroRNA profiling in a case-control study of African American women with uterine serous carcinoma Gynecologic Oncology 2021:163 (3), 453-458 [citations: 4]
  • D Mikulski, I Dróżdż, E Perdas, K Stawiski, M Nowicki, M Misiewicz, … Changes in the microrna expression profile in patients undergoing autologous steam cell transplantation Blood 2021:138, 4789 [citations: 4]
  • M Miszczyk, W Majewski, K Stawiski, K Rasławski, P Rajwa, I Jabłońska, … Prognostic factors in postoperative radiotherapy for prostate cancer–tertiary center experience Radiology and Oncology 2021:55 (2), 203-211 [citations: 2]
  • Z Nowicka, R Bibik, R Stando, W Fendler, K Stawiski, B Tomasik A link between seasonality and radiation-related toxicity: The big time or time will tell? Radiotherapy and Oncology 2021:161, 257-258 [citations: 1]
  • ES Komseli, IS Pateras, T Krejsgaard, K Stawiski, SV Rizou, A Polyzos, … A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced senescence (vol 19, 37 … BMC GENOMICS 2021:22 (1) [citations: 0]
  • ES Komseli, IS Pateras, T Krejsgaard, K Stawiski, SV Rizou, A Polyzos, … Correction to: A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced senescence BMC genomics 2021:22 [citations: 0]
  • B Małachowska, B Tomasik, K Stawiski, S Kulkarni, C Guha, … Circulating microRNAs as biomarkers of radiation exposure: A systematic review and meta-analysis International Journal of Radiation Oncology Biology* Physics 2020:106 (2), 390-402* [citations: 46]
  • M Jobczyk, K Stawiski, W Fendler, W Różański Validation of EORTC, CUETO, and EAU risk stratification in prediction of recurrence, progression, and death of patients with initially non–muscle‐invasive bladder cancer (NMIBC … Cancer Medicine 2020:9 (11), 4014-4025 [citations: 33]
  • P Robak, I Dróżdż, D Jarych, D Mikulski, E Węgłowska, M Siemieniuk-Ryś, … The value of serum microRNA expression signature in predicting refractoriness to bortezomib-based therapy in multiple myeloma patients Cancers 2020:12 (9), 2569 [citations: 20]
  • Ł Kuncman, K Stawiski, M Masłowski, J Kucharz, J Fijuth Dose–volume parameters of MRI-based active bone marrow predict hematologic toxicity of chemoradiotherapy for rectal cancer Strahlentherapie und Onkologie 2020:196, 998-1005 [citations: 16]
  • M Braun, D Piasecka, B Tomasik, K Mieczkowski, K Stawiski, A Zielinska, … Hormonal receptor status determines prognostic significance of FGFR2 in invasive breast carcinoma Cancers 2020:12 (9), 2713 [citations: 10]
  • Z Nowicka, B Tomasik, DE Kozono, K Stawiski, TJ Johnson, … Serum Circulating MicroRNAs as Functional Biodosimeters in Patients Undergoing Total Body Irradiation International Journal of Radiation Oncology, Biology, Physics 2020:108 (3), e536 [citations: 0]
  • Z Nowicka, K Stawiski, B Tomasik, W Fendler Extracellular miRNAs as biomarkers of head and neck cancer progression and metastasis International journal of molecular sciences 2019:20 (19), 4799 [citations: 37]
  • A Zmyslowska, A Waszczykowska, D Baranska, K Stawiski, M Borowiec, … Optical coherence tomography and magnetic resonance imaging visual pathway evaluation in Wolfram syndrome Developmental Medicine & Child Neurology 2019:61 (3), 359-365 [citations: 21]
  • EJ Bobeff, J Fortuniak, B Bryszewski, K Wiśniewski, M Bryl, K Kwiecień, … Mortality after traumatic brain injury in elderly patients: a new scoring system World neurosurgery 2019:128, e129-e147 [citations: 20]
  • M Kotlicka-Antczak, MS Karbownik, K Stawiski, A Pawełczyk, N Żurner, … Short clinically-based prediction model to forecast transition to psychosis in individuals at clinical high risk state European Psychiatry 2019:58, 72-79 [citations: 18]
  • M Zakrzewska, R Gruszka, K Stawiski, W Fendler, J Kordacka, … Expression-based decision tree model reveals distinct microRNA expression pattern in pediatric neuronal and mixed neuronal-glial tumors BMC cancer 2019:19, 1-11 [citations: 11]
  • EJ Bobeff, BJ Posmyk, K Bobeff, J Fortuniak, K Wiśniewski, K Stawiski, … Predicting outcome and conservative treatment failure in patients with skull fracture after traumatic brain injury: a retrospective cohort study Journal of Neurological Surgery Part A: Central European Neurosurgery 2019:80 (06 … [citations: 3]
  • L Kuncman, K Stawiski, M Maslowski, J Wilczynska, J Bury, J Fijuth FT3-L Dynamics in Blood Could be Predictive of Time of Occurrence Lymphocyte Nadir in Patients Undergoing Preoperative Chemoradiotherapy for Rectal Cancer. International Journal of Radiation Oncology, Biology, Physics 2019:105 (1), E167-E168 [citations: 0]
  • ES Komseli, IS Pateras, T Krejsgaard, K Stawiski, SV Rizou, A Polyzos, … A prototypical non-malignant epithelial model to study genome dynamics and concurrently monitor micro-RNAs and proteins in situ during oncogene-induced … BMC genomics 2018:19, 1-22 [citations: 51]
  • K Pagacz, K Stawiski, A Szadkowska, W Mlynarski, W Fendler GlyCulator2: an update on a web application for calculation of glycemic variability indices Acta diabetologica 2018:55, 877-880 [citations: 33]
  • A Puła, K Stawiski, M Braun, E Iskierka-Jażdżewska, T Robak Efficacy and safety of B-cell receptor signaling pathway inhibitors in relapsed/refractory chronic lymphocytic leukemia: a systematic review and meta-analysis of randomized … Leukemia & Lymphoma 2018:59 (5), 1084-1094 [citations: 19]
  • K Stawiski, I Pietrzak, W Młynarski, W Fendler, A Szadkowska NIRCa: An artificial neural network‐based insulin resistance calculator Pediatric diabetes 2018:19 (2), 231-235 [citations: 14]
  • KM Elias, W Fendler, K Stawiski, SJ Fiascone, AF Vitonis, RS Berkowitz, … Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer Elife 2017:6, e28932 [citations: 143]
  • J Trelinska, I Dachowska, D Baranska, K Stawiski, K Kotulska, W Fendler, … Maintenance therapy with everolimus for subependymal giant cell astrocytoma in patients with tuberous sclerosis (the EMINENTS study) Pediatric blood & cancer 2017:64 (6), e26347 [citations: 26]
  • K Stawiski, J Trelińska, D Baranska, I Dachowska, K Kotulska, S Jóźwiak, … What are the true volumes of SEGA tumors? Reliability of planimetric and popular semi-automated image segmentation methods Magnetic Resonance Materials in Physics, Biology and Medicine 2017:30, 397-405 [citations: 7]
  • KM Elias, W Fendler, K Stawiski, SJ Fiascone, AF Vitonis, RS Berkowitz, … Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer. Elife eLife Sciences Publications Limited 2017:6, e28932 [citations: 5]
  • A Pula, K Stawiski, M Braun, E Iskierka-Jazdzewska, T Robak A systematic review and meta-analysis of B-cell receptor signaling inhibitors in relapsed and refractory chronic lymphocytic leukemia LEUKEMIA & LYMPHOMA 2017:58, 152-153 [citations: 0]
  • M Zakrzewska, W Fendler, K Stawiski, R Gruszka, K Zakrzewski, … Comparative Analysis of miRNA Expression in Pediatric Neuronal and Mixed Neuronal-Glial Tumors PEDIATRIC BLOOD & CANCER 2017:64, S318-S318 [citations: 0]
  • LJ Lee, BE Howitt, W Fendler, K Stawiski, P Bu, L Cho, D Chowdhury, … miRNA profiling in a case: Control study of African American women with uterine serous carcinoma (USC). Journal of Clinical Oncology 2017:35 (15_suppl), e17116-e17116 [citations: 0]
  • KM Elias, WF Fendler, K Stawiski, A Vitonis, RS Berkowitz, DW Cramer, … Serum MicroRNA Sequencing for Early Diagnosis of Invasive Ovarian Cancer. REPRODUCTIVE SCIENCES 2017:24, 87A-87A [citations: 0]
  • Ł Dziki, A Puła, K Stawiski, B Mudza, M Włodarczyk, A Dziki Patients’ awareness of the prevention and treatment of colorectal cancer Polish Journal of Surgery 2015:87 (9), 459-463 [citations: 14]
  • K Stawiski, A Strzałka, A Puła, K Bijakowski PancreApp: An Innovative Approach to Computational Individualization of Nutritional Therapy in Chronic Gastrointestinal Disorders MEDINFO 2015:2015: eHealth-enabled Health, 325-328 [citations: 2]
  • K Elias, U Smyczynska, K Stawiski, Z Nowicka, J Webber, J Kaplan, … Identification of BRCA1/2 mutation female carriers using circulating microRNA pro les screening NA:10, 1 [citations: 0]

See the details on PubMed: http://link.konsta.com.pl/pubmed

Not-indexed conference posters and awards were not included here.

6.3 Book chapters

  • Konrad Stawiski, Łukasz Polak, Wojciech Fendler, Jarosław Drożdż. Evidence-based medicine w kardiologii. WIELKA INTERNA: Kardiologia część 1 - wydanie II. Medical Tribune Polska 2018.
  • Konrad Stawiski, Jacek Fijuth. Sztuczna inteligencja w onkologii. Innowacyjna Onkologia: potrzeby, możliwości, system. PZWL 2020. ISBN 978-83-200-6032-4

6.4 Teaching and invited lectures

  • 2023: “Odmienne twarze Greja – dawki biologicznie równoważne w zależności od sposobu frakcjonowania i lokalizacji anatomicznej”. Konferencja “Radioterapia stereotaktyczna w dobie leczenia celowanego” [Polish]
  • 2023: “Wyniki badania klinicznego – analiza oraz ocena wartości” (Clinical trial results - analysis and value assessment) as part of the postgraduate studies “Non-commercial Clinical Research - Design, Implementation and Management” (Wroclaw Medical University)
  • 2022: “Czy sztuczna inteligencja zastąpi człowieka w planowaniu leczenia promieniami? (Will artificial intelligence replace humans in radiation treatment planning?)”, X Zjazd Polskiego Towarzystwa Radioterapii Onkologicznej, Łódź
  • 2022: “Deep artificial neural networks in the integration of the expression profile of circulating and intracellular miRNA particles in pancreatic cancer patients.” Lodz Oncology Days
  • 2022: “Application of advanced statistical tools and artificial intelligence in prognosis and response prediction to treatment in prostate cancer”. Rak Stercza - Wielodyscyplinarne Podejście Do Terapii Po Niepowodzeniu Leczenia Miejscowego I W Chorobie Z Przerzutam
  • 2022: “Time series analysis” as part of postgraduate studies “Elements of empirical research methodology in medicine and application of statistics in biomedical research” (Medical University of Lodz)
  • 2022: “Introduction to Data Mining methods and the STATISTICA Data Mininer system” as part of postgraduate studies “Elements of empirical research methodology in medicine and the application of statistics in biomedical research” (Medical University of Lodz)
  • 2021-2022: “Data in clinical trials (CRF) and database management.” as part of the postgraduate studies “Non-commercial Clinical Research - Design, Implementation and Management” (Wroclaw Medical University)
  • 2021-2022: “New Technologies in Clinical Trials. Big Data.” as part of postgraduate studies “Non-commercial clinical research - design, implementation and management” (Medical University in Wrocław)
  • 2021: “Biostatistics workshops” as part of the initiative of the Young Division of the Polish Society of Radiation Oncology
  • 2019: “Deep teaching as a technique to increase the effectiveness of molecular biomarkers” 9th Congress of the Polish Society of Radiation Oncology
  • 2018: “Data mining to discover ovarian cancer signature in the miRNA serum profile” Elias Lab Meeting at Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Boston, USA
  • 2018: “From anatomy to artificial intelligence in oncology” Local “I’m gonna be a scientist” conference.

6.5 Commercial clinical trials

7 Own open source IT projects

7.1 Certified courses

  • 2022: Single-cell RNA-seq data analysis workshop, Harvard Chan Bioinformatics Core (HBC), Boston, MA, USA
  • 2022: Bulk RNA-seq data analysis workshop (part 1 and 2), Harvard Chan Bioinformatics Core (HBC), Boston, MA, USA
  • 2016: “Computational Genomics” (Summer School), Max-Delbrück-Centre for Molecular Medicine, Berlin, Germany
  • 2016: “Fundamentals of Digital Image and Video Processing” (Coursera ID: ULTLWMZSCYEZ), Northwestern University , Evanston, IL, USA

8 Skills

  • Programming: R (advanced; data processing, statistical analysis, application programming, data mining), python (basic; data mining), C # .NET (advanced; C # .NET WinForms desktop applications), PHP (intermediate; website development websites using CMS Wordpress, creating applications using Boostrap)
  • Bioinformatics and medical informatics. In particular, analysis of next-generation sequencing data and other large-scale data.
  • Data analysis (data science and bioistatistics; knowledge of STATSTICA, MedCalc, IBM SPSS; data mining using R and python and Weka)
  • Medical image analysis (knowledge of 3D Slicer, ITK SNAP, pyRadiomics)
  • Linux knowledge with server configuration: knowledge of bash; docker; services (apache2/nginx, php, e-mail, ftp); cybersecurity - SSH tunneling, ufw, fail2ban.
  • The basics of Windows Server configuration.

9 Organizational activity

  • 2021 - still: Member of ESTRO (European SocieTy for Radiotherapy and Oncology);
  • 2019 - still: Member of the Polish Oncological Society;
  • 2019 - still: Member of the Polish Society of Radiation Oncology;
  • 2017 - 2018: Member of the program council, Kuznia Młodych Talenty, Academy of Young Scholars of the Polish Academy of Sciences.
  • 2014 - 2016: Individual Course of Studies at the Department of Biostatistics and Translational Medicine; tutor: Dr Wojciech Fendler;
  • 2013 - 2015: President of the Student Scientific Society of the Medical University of Lodz.
  • 2012 - 2013: Member of the Board of the Student Scientific Society of the Medical University of Lodz.
  • 2012 - 2013: Individual Course of Studies at the Department of Neurosurgery and Oncology of the Nervous System; tutor: Dr Krzysztof Tybor;
  • 2012 - 2015: Member of the Student Scientific Society at the Department of Neurosurgery;
  • 2011 - 2015: Member of the Student Research Group at the Faculty of Normal and Clinical Anatomy;
  • 2011 - 2015: International Association of Medical Students (IFMSA): (1) 2014: European Regional Meeting of Medicine Students, General Delegate of Poland, (2) 2013 - 2016: IFMSA New Technologies Support Division Director Assistant (international position), (3) 2013 - 2015: Member of the IFMSA-Poland marketing team (national position), (4) 2013 - 2015: IFMSA-Poland National New Technologies Director (national position), (5) 2012 - 2013: IFMSA-Poland National New Technologies Director Assistant (national position), (6) 2012 - 2013: Local coordinator of the project “Dying - a human thing” (local position), (7) 2011 - 2014: Local New Technologies Director (local position), (8) participation in 3 national IFMSA-Poland assemblies (Fall 2012, Spring 2012, Fall 2013).

This CV was generated on 2024-07-09.

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