Henry Woodruff (H.C.)

I am currently Associate Professor at the Department of Precision Medicine and Head of  The D-Lab (Data-Driven Lab), where we translate advanced AI in medical imaging into tools that can be implemented responsibly in clinical and research practice. My day-to-day work sits at the interface of science, software engineering, governance, and people: building teams that deliver, shaping portfolios that scale, and turning ambitious ideas into funded programmes with clear outputs and accountability.

As D-Lab lead and AI portfolio holder within GROW (Research Institute for Oncology and Reproduction), I manage a diverse pipeline—from early prototypes to CE-marked solutions—and focus on what often determines success: stakeholder alignment, realistic implementation pathways, data governance, and quality management. I work closely with clinicians, developers, researchers, IT, and external partners to move from “proof-of-concept” to “fit-for-purpose”, with attention to validation, safety, and adoption barriers.

A substantial part of my role is leading and coordinating large grant applications and consortia. I develop funding strategies across Dutch and EU programmes, craft coherent workplans and deliverable structures, and manage risk, timelines, budgets, and reporting requirements. I enjoy the pragmatic side of programme leadership: translating strategic aims into work packages, ensuring resources match deliverables, and creating the conditions for collaborators to execute effectively. My approach is structured and transparent—clear responsibilities, measurable milestones, and early mitigation of technical, regulatory, and organisational risks.

I also help shape institutional practice around responsible AI, including guidance for research and education, with an emphasis on reproducibility, governance, and real-world impact.

I also organise the international course AI4Imaging, as well as the FHML-wide Minor AI and Data Driven Care (MAI3000).

If you are interested in building clinically meaningful AI solutions, scaling multidisciplinary teams, or developing EU/NL grant programmes that can actually be delivered, I’m always open to connect.

 

Expertises

Applying advanced machine learning and image processing methods on vast amounts of medical data in order to improve the lives of patients, with a focus on decision support systems and precision medicine

Career history

2017—2020 Senior Postdoctoral Research Fellow, Maastricht, The Netherlands

2014—2017 Postdoctoral Researcher, Central Medical School, University of Sydney, Australia

2011—2014 Postdoctoral Researcher, Hunter Cancer Research Alliance, Newcastle, Australia

2009 PhD Astrophysics, Sydney University, Sydney, Australia

2003 MSc Max Planck Institute for Radio Astronomy, Bonn, Germany