Basel, Basel, Switzerland
Executive Director and Global Head of Computational Medicine. Dynamic leader with 15+ years at Roche driving the transformation of pharmaceutical R&D through AI/ML, advanced analytics, and tailored research informatics solutions. Proven track record in defining and executing on computational disease area strategies delivering high-impact results. Successfully formed productive partnerships and high-performance teams across organizational units, geographies and cultures. Exceptional skills in hiring, developing, and retaining top-tier professionals. Renowned for creative leadership, exceptional communication and negotiation skills, and fostering a strong culture of feedback and coaching.
Global organizational leadership, change management, strategy development and execution. Delivering critical insights for portfolio project decision points, improving R&D productivity, and driving innovation via advanced analytics, machine learning and GenAI. Creating strategic alignment with leadership and catalyzing execution of high-priority efforts, ensuring consensus on computational priorities across the portfolio for all therapeutic areas Unifying computational medicine capabilties across pRED (Basel/Munich) and gRED (South San Francisco) into an aligned global organization to effectively serve both portfolios Guiding strategic application of AI/ML to exploit multi-modal data for improving our understanding of disease biology, patient stratification and precision medicine initiatives Establishing shared operational frameworks, talent strategies, and career matrices to harmonize across a diverse international organization while respecting distinct local cultures Maximized value creation for the portfolio by scaling the impact of industry-leading teams in biomedical image analysis, real-world evidence, and digital measurement approaches
Global Leadership: Leading a global team in Basel (CH), Welwy (UK), and Nutley (US) focusing on AI/ML image analysis and digitalization for Clinical Operations. Evolving AI/ML powered medical image analysis capabilities - Delivering integrated, scalable data analytics solutions for several disease areas - Developing informatics investment and outsourcing strategies based on portfolio demand - Leading a team of self-managed image analysis specialists - Establishing strategic partnerships to scale and operationalize solutions and platforms Driving digitalization capabilities for Clinical Operations - Providing end-to-end solutions for patient engagement, study process automation & analytics - Supporting early clinical study management teams across all disease areas and geographies - Developing digitalization solution strategies, acting as liaison to partner organizations - Leading a virtual team of clinical informatics and regulatory specialists
Delivering insights for drug development projects, improving R&D productivity, and driving innovation via advanced analytics, machine learning and GenAI - Leading an interdisciplinary global team of data analysts and AI/ML experts - Developing D&A as well as investment and partnering strategies with senior stakeholders - Representative in enterprise initiatives for improving R&D productivity AI-powered image/video analysis - Enabling analysis of imaging biomarkers at scale to improve understanding of disease, disease progression, individual patient response to treatment, and molecule/product differentiation - Established highly automated end-to-end data pipelines as key enabler for innovation and insights generation, facilitating near real-time analyses of integrated data sets for the portfolio Real World Data insights and advanced text analytics - Optimization of eligibility criteria for improving study design and patient recruitment - Treatment landscape and patient insights from social media to inform endpoint strategies - Enabling “Digital Twins for clinical trials” to support trial design and predict patient response Exploratory biomarker analyses - Self-service solution providing near real-time access to integrated clinical and biomarker data - Enabling analyses of biomarker time profiles and distributions for improved decision making
Data Science lead for internal discovery projects and services for external collaborations - Small molecule LI/LO for oncology, inflammation and infectious disease projects - Contributed many lead candidates and optimized lead structures for various projects - Advised on internal and external assay development (e.g., data quality, secondary assays) - Member of core project teams alongside Chemistry and Biology leads - Performed vHTS, molecular docking, ligand-based design, scaffold hopping, QSAR, etc. Product/System Owner and User of several D&A solutions - In-house virtual screening, chem-/bioinformatics, machine learning, data warehouse - Key stakeholder for compound registration, data capture, and sample management solutions
Development and application of a structure based de novo design software tool and virtual chemical fragment libraries to the discovery of new small molecule lead candidates Responsible for small molecule LI and cheminformatics capabilities in industry partner projects on combating drug resistance in chronic myeloid leukemia and HIV-1 infection Key contributor to an industry collaboration project on a workbench for de novo drug design funded by the German Federal Ministry of Education and Research