Tomasz Jetka

Director of Data Science at Ardigen
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Contact Information
Location
Szczecin, Zachodniopomorskie, Poland, PL
Languages
  • English Professional working proficiency
  • Italian Elementary proficiency
  • German Limited working proficiency

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Maciej Mrug-Bazylczuk

Tomasz’s in-depth understanding of economic issues, both theoretical and practical, proved to be an invaluable asset to the editorial team. We could always count on Tomasz for reviewing our work and ensuring validity and merit of the published content.

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Experience

    • Poland
    • Biotechnology Research
    • 100 - 200 Employee
    • Director of Data Science
      • Jan 2023 - Present
    • Artificial Intelligence Consultant
      • Jun 2022 - Dec 2022

      Scoping perspectives and potential to expand Data Science and AI capabilities of the company. Including: - problem definition and projects framing - outlining plans and workflows for practical implementation of use-cases - AI team kick-off: recruitment, organization, task planning, environments set-up - exploratory data-analysis - AI team lead Scoping perspectives and potential to expand Data Science and AI capabilities of the company. Including: - problem definition and projects framing - outlining plans and workflows for practical implementation of use-cases - AI team kick-off: recruitment, organization, task planning, environments set-up - exploratory data-analysis - AI team lead

    • United States
    • Biotechnology Research
    • 100 - 200 Employee
    • AI Research Team Lead
      • Sep 2021 - Jul 2022

      Exploration of large scale datasets and deep learning models utilizing Omics- and Imaging datasets from internal biological experiments.Tasks:- Setting up the goals and operational standards, recruitment process- Leading a team of 4 AI researchers- Framing AI projects within omics datasets: transfer learning, generative biology, drug response predictions- Framing AI projects within imaging datasets: object segmentation, cells counting, identification of morphometric features (Cell Painting)- Designing prototypes of Omics and Imaging Pipelines' for personalized medicine projects- Specifying the framework for iterative-learning with ML-grade biological datasets withinTech: Python, PyTorch, Tensorflow, CellProfiler, ImageJ, git, docker, MLFlow, KubeFlow, Jira, Confluence Show less

    • Research Project Manager
      • Sep 2021 - Apr 2022

      Coordinating a research project into an automated biological lab construction in China.- Coordinating a multinational team of 10+, incl. automation engineers, automation biologist, HTS biologist, NGS experts, IT engineers, AI scientists and BD- Leading technical discussion with external vendors (Thermo, PE, Illumina, MGI, Hamilton, Cytena and others)- Preparing lab's scientific workflow- Setting up NGS pipeline assumption and optimization

    • Bioinformatics Scientist
      • Jan 2018 - Sep 2021

      Performing research on application of mathematics and statistics for Bioinformatics Research and Drug and Target Discovery. Collaboration with commercial partners for discovery of disease hypothesis and mechanism of action. Projects:- Large-scale disease datasets pre-processing and scoring- Disease-wide predictions' validation- Improvements of conventional enrichment and pathway activation methods- PandaOmics back-end for Target Prioritization- Discovery of Ligand-Receptor interactions- Consensus methods for dataset and inference aggregationDatasets:- 500+ microarray and RNA-seq datasets processed- scRNA-seq, ChIP-seq, genomics- quantitative proteomics and phospho-proteomicsTheory: Machine Learning: cluster identification, classification, feature selection, dimension reduction; Statistical theory in omics analysis; pathway analysisTech: R, Python, PyTorch, git, docker, nextflow, SQL, scikit-learn, pandas, numpy, bioconductor, shiny Show less

    • Machine Learning Researcher
      • Jan 2018 - Sep 2021

      Omics-based machine and deep learning models exploration for biology research.Projects:- Generative biology models for compound's effect prediction (DNNs, GANs, auto-encoders) - Diffusion modeling of pathway perturbations (graph algorithms, node-wise embeddings, statistical testing on graphs)- Similarity and anti-similarity scoring of treatment regimes (CNNs, hierarchical similarity metrics, clusterization, omics embeddings)Datasets:- ARCHS4, CCLE, TCGA, gTEX - Lincs L1000- DepMap Achilles datasets- STRING, OmniPath, KEGG- internal RNA-seq datasetsTech: R, Python, git, docker, PyTorch, MLFlow, SQL, ML-libraries, plotting libraries Show less

    • Preclinical Program Scientist
      • Jun 2020 - Dec 2020

      Leading biology and bioinformatic exploration of mechanism of action investigation for a novel preclinical candidate. Including:- Bioinformatics analysis of preclinical omics profiling- Discovery of mechanism of action of preclinical candidates- Data-driven target's profiling and prioritization for drug discovery- Collaboration within multi-disciplinary and multinational team- Data analysis and visualization for biology teamTech: R/Bioconductor/Shiny, Python, git, docker, nextflow Show less

    • Poland
    • Primary and Secondary Education
    • 1 - 100 Employee
    • Mathematics Tutor
      • Oct 2017 - Dec 2017

      IB and Olympics-level mathematics. IB and Olympics-level mathematics.

    • Poland
    • Research Services
    • 1 - 100 Employee
    • Researcher PHD Student
      • Oct 2013 - Sep 2017

      A position within Laboratory of Modeling in Biology and Medicine and Systems Biology of Biochemical Signaling Group. Research on methodological aspects of analysis of biochemical signaling pathways.Theory: Bayesian statistics, Bioinformatics, Machine learning: classification algorithms, Image analysis, Stochastic simulations, ODEs, Numerical computations, Technology: R, Python, Matlab, Cell ProfilerCollaboration: University of Magdeburg (A.Dittrich), Imperial College London (M.Stumpf), q-BIO (B. Munsky), Helmholtz Zentrum (J.Hasenauer) Show less

    • Student Researcher
      • Oct 2011 - Sep 2013

      A position within Homing Plus Grant (FNP)Research Area: Computational modeling of E.Coli growth and decisiveness. Information Theory.Theory: Numerical computations, ODE analysis, probability, Bayesian statisticsTechnology: Matlab

    • Owner
      • Aug 2012 - Jul 2016

      Marketing, Blogs, E-commerce. The co-owner of site/blog/fanpage: www.facetemjestem.pl (300k unique users; ~1M views per month in the peak activity) Marketing, Blogs, E-commerce. The co-owner of site/blog/fanpage: www.facetemjestem.pl (300k unique users; ~1M views per month in the peak activity)

    • Junior Researcher
      • Sep 2014 - Aug 2015

      Statistical and biomathematical research within the scope of: drug repurposing, signaling pathway activation and use of statistical learning to predict patients' treatment response. Technology: R, Python, Matlab Statistical and biomathematical research within the scope of: drug repurposing, signaling pathway activation and use of statistical learning to predict patients' treatment response. Technology: R, Python, Matlab

    • Poland
    • Civic and Social Organizations
    • 1 - 100 Employee
    • Editor
      • Feb 2010 - Sep 2013

      Daily responsibilities included: English-Polish translation of economics texts, supervision of proof-reading process, quality control of www.mises.pl content, coordination of interns work. Other projects: Wikipedia content translation (translator); Polish Edition of Hazlitt's "Economics in one Lesson" (associate editor); Publication of A. Heydel's "Complete Works" (domain-specific consulting). Technology: Office Suite Daily responsibilities included: English-Polish translation of economics texts, supervision of proof-reading process, quality control of www.mises.pl content, coordination of interns work. Other projects: Wikipedia content translation (translator); Polish Edition of Hazlitt's "Economics in one Lesson" (associate editor); Publication of A. Heydel's "Complete Works" (domain-specific consulting). Technology: Office Suite

    • Poland
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Data Analyst
      • Aug 2012 - Sep 2012

      Preparation of pharmaco-economical assessment of pending drugs or therapies, incl. long-term cost-effectiveness simulations. Formally: writing HTA and BIA reports. Statistical data analysis. Technology: Office Suite, VBA, R Preparation of pharmaco-economical assessment of pending drugs or therapies, incl. long-term cost-effectiveness simulations. Formally: writing HTA and BIA reports. Statistical data analysis. Technology: Office Suite, VBA, R

    • Summer Intern
      • Jul 2010 - Sep 2010

      Project-oriented assignments. Industry problems solved by mathematics and science. Experience and skills included: research and data analysis, mathematical modeling, project management, reporting and formal presentations. Among partners were: consulting companies, public institutions and scientific organizations. Projects Participation: 1. research of small and medium enterprises in Poland, 2. agent-based simulations of consumer's behavior; 3. Hat guessing game as a real-life problem. Technology: R, Java Show less

Education

  • University of Warsaw
    Master of Science (MSc), Applied Mathematics, Computational Biology
    2011 - 2013
  • Polish Academy of Sciences
    Doctor's Degree, Biomathematics, Bioinformatics, and Computational Biology
    2013 - 2017
  • University of Warsaw
    Bachelor of Applied Science (B.A.Sc.), Applied Mathematics, Econometrics&Informatics, Economics
    2008 - 2011
  • 13th High School, Szczecin
    Multi-/Interdisciplinary Studies, General
    2005 - 2008

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