Jan Kaczmarczyk
Director of Data Science | Lead Data Scientist in Immunology at Ardigen- Claim this Profile
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Polish Native or bilingual proficiency
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English Full professional proficiency
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German Limited working proficiency
Topline Score
Bio
Credentials
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Deep Learning Specialization
CourseraFeb, 2022- Sep, 2024 -
Machine Learning (Coursera - Stanford University)
CourseraFeb, 2017- Sep, 2024
Experience
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Ardigen
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Poland
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Biotechnology Research
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100 - 200 Employee
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Director of Data Science | Lead Data Scientist in Immunology
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Jan 2020 - Present
- Interim General Manager of the Immunology Business Unit (06.2021-04.2022)- Director of the Data Science Competence Center (2020-2021)- Technical Lead in two SCRUM teams in Immuno-Oncology (2020-2021)- Co-authored 5 research posters and 2 publications (in Immuno-Oncology)
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Senior Data Scientist
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Jul 2017 - Jan 2020
- Team leader in projects, in which Machine Learning methods were applied in Metabolomics,Cheminformatics, and Immuno-Oncology- 2nd place in the DREAM-Proteogenomics Challenge, in which Machine Learning wasused in cancer research (designed and implemented the Ardigen’s team solution)- Co-authored: 3 research posters (in Immuno-Oncology), a whitepaper and a research paper on AI in Drug Discovery ("Mol-CycleGAN - a generative model for molecular optimization", https://arxiv.org/abs/1902.02119) Show less
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Institute of Science and Technology Austria
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Austria
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Research Services
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300 - 400 Employee
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Postdoc
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Jul 2014 - Oct 2016
- Author of a model providing the first theoretical explanation of a pattern observed in the time-dependent alignment of molecules coupled to a bosonic bath; publication in Phys. Rev. Lett. in 2017 with 58 citations - Developing numerical methods for description of dissipative (open) quantum systems (in Python, using QuTiP and SciPy) - First two years with a fellowship (ISTFELLOW) - On committee for PhD students' fellowship program - Author of a model providing the first theoretical explanation of a pattern observed in the time-dependent alignment of molecules coupled to a bosonic bath; publication in Phys. Rev. Lett. in 2017 with 58 citations - Developing numerical methods for description of dissipative (open) quantum systems (in Python, using QuTiP and SciPy) - First two years with a fellowship (ISTFELLOW) - On committee for PhD students' fellowship program
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Jagiellonian University
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Poland
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Research Services
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700 & Above Employee
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Postdoctoral Research Assistant
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Oct 2011 - Sep 2014
- Author of a novel method for the description of strongly-correlated quantum systems (C++ code written from scratch using GNU Scientific Library and OpenMP); resulted in a series of 10 publications - Principal investigator in a research grant obtained for the above project - Teaching 180-210 hours annually. Courses: Algorithms and Data Structures, Advanced C++ Programming, Calculus, Logic and Set Theory, Theoretical Physics Methods (co-initiated; with original program) - Co-supervising a Ph.D. project Show less
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Education
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2007 - 2011
Jagiellonian University
Doctor of Philosophy (Ph.D.), Physics -
2007 - 2011
Jagiellonian University
Master of Science (M.Sc.), Physics -
2006 - 2012
Jagiellonian University
Bachelor of Science (B.Sc.), Applied Computer Science
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