Meet the TRACE team

Prof. Dr. Ulrich Mansmann is a biostatistician and epidemiologist. He is professor at the Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig-Maximilians-Universität München.
One focus of his work is making clinical trial data shareable and using shared clinical trial data to consolidate and extend clinical knowledge ...more

Marcel Müller, M.Sc., is a Research Systems Architect working in several clinical studies. He designs, develops, and integrates research IT platforms that provide secure data access, robust integration, and scalable analytics across clinical and academic domains. His work spans end-to-end architecture, REDCap integration for streamlined research data flows, and custom solutions—APIs, data mappers, and user/identity management—that enable data sharing in medical science while adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable) ...more

Samar Shamas, MSc., is an epidemiologist and data engineer focused on the first mile of study digitalization in a university-hospital environment. She specializes in translating study protocols into well-designed REDCap projects, building robust eCRFs with validation rules, branching logic, and versioning, and establishing repeatable data pipelines. A key emphasis of her work is rich metadata—clear data dictionaries, codebooks, and provenance—so that datasets are understandable, reusable, and ready for downstream analysis ...more

Nikolaus von Bomhard is IBE's and TRACE’s IT specialist, responsible for the reliable, secure operation of our research services and identity infrastructure. Furthermore he is responsible for data protection purposes. He designs and maintains the networking and platform stack behind RStudio, Jupyter, TRACE, and Nextcloud, and oversees user management via LDAP ...more

Lakshmi Sowjanya Batchu, MSC, is an Masters student in Epidemiologie at LMU with a background in pharmacy. Within TRACE, she is involved in the integration of clinical study data and contributes to data management process,including data validation, quality control and anonymization.

Berkay Uras is an AI Integration Architect working on the TRACE project at the Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig-Maximilians-Universität München. He is also pursuing an M.Sc. in Artificial Intelligence at Friedrich-Alexander-Universität Erlangen–Nürnberg. His work focuses on integrating artificial intelligence into clinical research infrastructures, particularly REDCap-based data collection systems.

He designs AI-assisted workflows to support data validation, analysis, and knowledge extraction in epidemiological and clinical studies, with a strong emphasis on GDPR-compliant and privacy-preserving solutions. His interests lie in applied AI for healthcare, aiming to translate advanced AI methods into reliable and clinically usable research tools.

Eren Tasken is an AI Integration Architect and M.Sc. student in Artificial Intelligence at Friedrich-Alexander-Universität Erlangen–Nürnberg, with a background in computer science and backend systems. His work focuses on integrating AI-driven components into scalable, secure research infrastructures.

Within the TRACE project, he aims to contribute to the development of privacy-preserving and GDPR-compliant AI integrations and systems that enhance clinical and epidemiological research. His interests include applied AI, AI system integration, backend systems, and cybersecurity, with a focus on building robust and deployable solutions.