CV

Education

Informatics – Artificial Intelligence (MSc)
Charles University • 09/2025 – present
Prague, Czech Republic 🇨🇿

Working in the Structural Bioinformatics Group led by David Hoksza; thesis focused on protein language models.

Machine LearningData ScienceData StructuresComplexity TheoryBioinformaticsComputational NeurosciencePython

Bioinformatics (BSc)
University of Chemistry and Technology • 09/2023 – 06/2025
Prague, Czech Republic 🇨🇿

Graduated summa cum laude.
Bachelor's thesis: Automation of nuclear material cladding coating measurement process

BioinformaticsBiochemistryMolecular BiologyBiologyComputational ChemistryGeneticsDatabasesC/C++/PythonGraph TheoryAlgorithmsStatisticsAutomata

Chemistry (BSc, unfinished)
University of Chemistry and Technology • 09/2022 – 06/2023
Prague, Czech Republic 🇨🇿

Inorganic ChemistryOrganic ChemistryPhysical ChemistryAnalytical ChemistryMathematicsPythonBiochemistry

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Work Experience

Researcher – Ewald Group
EMBL-EBI • from 02/2027
Cambridge, United Kingdom 🇬🇧

Starting research in Jess Ewald's group at EMBL-EBI.

Chemoinformatics AI/ML Intern
MSD • 02/2026 – 02/2027
Prague, Czech Republic 🇨🇿

Building an automation pipeline for the computational drug design process and connecting it with agentic systems, so the whole workflow can be run and orchestrated by AI agents. Also working with MLOps/DevOps tooling, including Docker and deployment pipelines.

Agentic AI SystemsComputational Drug DesignPipeline AutomationMolecular Dynamics SimulationsMLOpsDevOpsDockerDeployment PipelinesPython

Junior Scientific Researcher – Computer Vision Focus
Nuclear Research Institute - Research Centre Řež • 08/2023 – 02/2026
Prague, Czech Republic 🇨🇿

In this role, I design and build end-to-end computer vision and machine learning pipelines, covering everything from data processing and model development to deployment and integration into research workflows.

• Defined system requirements in collaboration with domain experts and translated them into implementable ML solutions.
• Developed and evaluated multiple approaches, going from rule-based methods to a CNN-based image analysis pipeline (Python, PyTorch, OpenCV), currently used in practice.
• Led data labeling efforts by organizing and managing a team of annotators.
• Introduced ML workflows to domain experts, enabling integration of AI methods into existing scientific processes.
• Result: the system remains in active use, serving as the foundation for current development. Received 1st place at the Student Scientific Conference (VŠCHT) for a Bachelor's thesis.

GitHub segmentation-lightning-base

Computational Chemist
Institute of Organic Chemistry and Biochemistry • 09/2022 – 10/2023
Prague, Czech Republic 🇨🇿

Focused on exploring and analyzing the properties of diverse helicenes using tools such as Gaussian, VMD, Molden, Avogadro, and QuantumATK for simulation and examination.
Project: Racemization of n-Helicenes

TBD

Organic Chemist (Internship)
Institute of Organic Chemistry and Biochemistry • 06/2022 – 08/2022
Prague, Czech Republic 🇨🇿

Conducted organic synthesis focused on the preparation of specific helicenes as part of a hands-on research internship.

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Volunteering

EuroPython Reviewer
03/2026

• Volunteer reviewer for EuroPython 2026 conference, providing feedback to help shape the event program.

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Competition Author & Reviewer
KSICHT Chemistry Competition • Prague, Czech Republic 🇨🇿 09/2022 – 12/23

• Correspondence seminar focused on chemistry for high school students
• Authored and reviewed competition problems
  View sample problem (PDF)

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Event Organizer – Head of Legal Team
TEDxYouth@Bratislava • Bratislava, Slovakia 🇸🇰 05/2018 – 08/2020

• Oversaw licensing and compliance for event with 300+ participants

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Honours and Awards

• Student Scientific Conference – 🇨🇿 28/11/2024 UCT 1st place
• Chemistry Olympiad – National Round 🇸🇰 03/2022 – 5th place
• Chemiklání Chemistry Team Competition 🇨🇿 02/2022 – 4th place (Team Captain)
• Chemistry Olympiad – National Round 🇸🇰 03/2021 – 10th place
• IBIS Biology Competition 🇸🇰 06/2021 – 2nd place

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Summer Schools & Projects

Open Source Contributor – ilastik
09/2026

• Contributed to ilastik, an interactive machine learning tool for bioimage analysis
• Fixed the prediction toggle sync in the Object Classification workflow (merged PR)

Project Pull Request

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EMBL Lautenschläger Summer School – Visualising Life
Heidelberg, Germany 🇩🇪 2026

• Visited numerous labs across EMBL and learned about current approaches to AI/ML in biology and imaging techniques
• Worked on a hands-on project lead by Jess Ewald using a dataset of CellProfiler morphological features extracted from cell images treated with specific compounds
• Trained XGBoost and neural network models, using labels from a different dataset, to predict compound toxicity

Program Link

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AIProHealth Summer School
Tartu, Estonia 🇪🇪 12/08/2024 – 30/08/2024

• Participated in AIProHealth summer school focused on AI innovation in healthcare
• Developed a digital medical device prototype -> 2nd place in the hackathon
• Gained hands-on experience with EU regulations and built valuable connections :)

Program Link

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