The team behind Leap Dynamics

Dr. Nikolai Genov is the CEO and co-founder of Leap Dynamics GmbH. With a PhD in bioinformatics, he combines scientific expertise with hands-on experience in AI, data science, clinical data management, biostatistics and software development.

His work spans healthcare, life sciences and finance, with a particular focus on regulated environments where data quality, reproducibility and compliance are critical. Nikolai leads projects ranging from R/Python analytics and clinical data pipelines to private LLM systems, AI-assisted software development, MCP integrations and automated reporting solutions.

He has worked on projects in banking, pharma, clinical research and scientific computing, and regularly takes responsibility for technical leadership, project coordination and stakeholder communication. His approach combines strategic thinking with practical implementation, helping clients turn complex data and AI challenges into reliable, production-ready solutions.

Magdalena Genov (née Wypukol) is a co-founder and Managing Director of Leap Dynamics GmbH. Since 2019, she has led the company and overseen project management, technical project leadership, data analysis and AI prompting.

She holds a Master of Science and a bachelor’s degree in Bioinformatics from Freie Universität Berlin. Before founding Leap Dynamics, she worked as a bioinformatician at the Center for Space Medicine and Extreme Environments at Charité – Universitätsmedizin Berlin, managing and conducting research involving ISS missions, parabolic flights and centrifuge experiments, using R and MATLAB.

Her scientific work includes peer-reviewed research on peripheral skin cooling during hypergravity, published in Frontiers in Physiology in 2023, and a poster on personalized vitamin D quantification for long-term space missions at the International Astronautical Congress 2018. Her recognition includes the Best Hardware Hack award at Science Hack Day Berlin 2017 and a Top 10 placement in the Health–i competition’s Junge Talente category.

Her technical skills span AI prompting, R, MATLAB, web design focused on data upload and processing, 3D design and printing, and ESP32/Arduino programming. She works fluently in German, English and Polish.

Alina Tselinina combines a master’s degree in financial and actuarial mathematics from Adam Mickiewicz University in Poznań with a bachelor’s degree in mathematics from Belarusian State University. Her software-development and data-science experience spans financial reporting, life-sciences applications and data engineering.

She develops and maintains R packages and Shiny applications, including PostgreSQL-backed tools and automated Word and HTML reporting with R Markdown for clinical study report preparation. Her experience includes profiling and deploying Shiny applications, maintaining existing code, and migrating on-premise applications to AWS.

Alina also develops Python REST APIs, including FastAPI services, ETL workflows, XML validation and XSLT-based transformations, and Python executors for running R code in Camunda workflows. Her toolkit includes Git, renv, testthat, Python testing tools, Docker and CI/CD for reproducible, maintainable delivery. She speaks English and Polish fluently.

Adrian Eisenmeier is a senior AI engineer, software architect and computational scientist with a background in physics and more than a decade of experience in software development, data science and scientific computing.

His expertise covers agentic AI, local LLM infrastructure, RAG and GraphRAG systems, Model Context Protocol (MCP), Python, R, C#, C++ and modern DevOps environments. Adrian has designed and implemented AI systems for secure and regulated environments, including on-premise solutions, AI-assisted software engineering workflows and enterprise automation.

His scientific background includes computational physics, QM/MM simulations, molecular modelling, spectroscopy and machine learning. At Leap Dynamics, Adrian focuses on technically demanding projects that require a combination of AI engineering, software architecture, reproducible computation and robust implementation.