Mannheim, Baden-Württemberg, Germany
As an innovation leader, I focus on designing and scaling digital capabilities that transform how organizations operate. Over the past decade, I’ve built a career at the intersection of data, technology, and organizational strategy — from hands‑on analytics and AI/ML prototyping to driving key components of enterprise‑level digital transformation in partnership with senior leadership. My work centers on piloting high‑impact initiatives, supporting strategic portfolios, and enabling AI/ML adoption in complex, regulated environments. I partner with stakeholders across functions to align priorities, modernize processes, and drive the shift from document‑driven to data‑driven ways of working. Today, as an Associate Director in Digital Innovation & Organizational Effectiveness, I support and drive programs that accelerate decision‑making, strengthen digital maturity, and create the conditions for sustainable innovation. My approach integrates systems thinking, cross‑functional alignment, and strategic focus to advance organizational transformation and deliver scalable, data‑driven solutions.
Responsible for strategic planning and prototyping for organizational digital transformation. Cross-functional collaboration and design of lighthouse projects. Use-case driven technology transformation.
Reporting and Analytics in scope of Drug and Patient Safety in Pharmacovigilance. Application of tools and programming languages (Python, R, SQL) for building automation pipelines, Large Language Models (GPT, and other), Machine Learning, forecasting and an extensive utilization of the Palantir platform.
I was heading the Centre for Biomolecular Network Analysis at EMBL focusing on integrative data analysis with graph theoretic, statistical learning, machine learning, and scientific programming. I worked here as a staff bioinformatician in a non-research role. Over the years I have supported hundreds of researchers, postdocs, and predocs at EMBL and other institutes. I provided support through project collaboration and consulting with project, experiment, and pipeline development. Consulting on projects, and providing training on all levels in network analytics as well as scientific programing.
Processing, analysis and interpretation of high throughput data. Machine learning using recurrent neural networks.
Applied systems biology, reverse engineering of regulatory networks. Processing, statistical, and functional analysis of high-throughput data. Mathematical modeling of complex systems using continuous time recurrent neural networks, machine learning, programming in C, R, and Java.
Design of online and offline courses in Science & Technology. Creation of the educational course materials, design of the frontend (GUI user interfaces), as well as the back-end design (mechanism of operation for interactive exercises, tools, models). Collaboration with authors from the academia for the generation of lesson plans and teaching programs. Coordination of the work of a team of graphics designers, programmers, editors, and authors from the design start to client delivery.