Jiří Němeček
INTRODUCTION
I'm an AI Researcher
Focusing on AI Ethics, Fairness and Explainability
ABOUT
Explainability helps everyone.
Explainable models are easier to supervise, they are better for users, and they can even help humans learn new things.
I wish to do my part in creating more society-friendly AI models.
RESUME
Curriculum Vitae
AI center at CTUsince 2023
PhD on Bias in AI
Work under the supervision of Jakub Mareček and Tomáš Pevný.
FEE at CTU in Prague2021-2023
Master in Artificial Intelligence
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Graduated with honors
Thesis on the Use of Mixed-Integer Programming in Machine Learning, with a focus on Explainability.
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Excelling studies
Great overall results, with an average mark of 1.08 (1 is best).
Top placements in class contests on deep learning as well as non-polynomial optimization.
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3 Minors
Minors in Computer Vision and Data Science, plus the selective prg.ai minor for top AI students in Prague.
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Ethics studies
Courses on Ethics and AI security at Charles University, course on Research Ethics at Warsaw University of Technology.
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Explainable AI research
Research work on Explainable AI under Jakub Mareček.
MAMA AI2021 - 2022
AI developer
Helped develop text-to-speech systems in a startup led by people from the IBM’s Watson project.
prg.ai2021+
Volunteer AI instructor
Volunteer instructor for the Czech version of an introductory course on AI for public.
FIT at CTU in Prague2017 - 2021
Bachelor in Knowledge Engineering
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Graduated with honors
Thesis about Evolutionary algorithms used to train Neural Networks.
Great overall results, with an average mark of 1.18 (1 is best).
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Various top placements in extra-curricular competitions.
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Initial research work
Volunteer research help to Jan Šochman with neuronal activity simulation research.