I advise organizations and teams on high-impact challenges in data science and AI, combining deep technical expertise with senior science management experience.
Typical engagements include technical reviews, strategy and readiness work, evaluation and benchmarking, and advisory support for data governance and responsible AI.
I bring hands-on experience in securing academic funding (ca. 3M€) and in reviewing competitive proposals—insight that helps teams design evaluation-ready projects.
I work with research-driven organizations, R&D teams, and public-sector initiatives. If you’d like to explore a collaboration, feel free to get in touch.
How I can help
Strategy, readiness & funding
- AI/data strategy and roadmap
- Capability assessment and operating model
- Governance, risk, and compliance alignment
- Proposal strategy and expert review for EU and national funding calls
Technical consulting
- Architecture review of ML systems and pipelines
- Evaluation, validation, reproducibility, and robustness
- Deployment pathways and operational constraints
Data governance & infrastructure
- FAIR-aligned data and metadata practices
- Data quality strategy and decision support
- Scalable workflows for collaboration across teams
Advisory & expert review
- Expert reviews and second opinions for technical teams and leadership
- Written recommendations and decision support
- Mentoring and coaching for team leads
Typical formats
- Single-session advisory (60–120 minutes)
- Project-based consulting (typically 2–8 weeks, or longer as required)
- Ongoing advisory (e.g. monthly retainer)
Other formats and durations can be arranged — please ask.
What to expect
- Clear scope and outcomes
- Evidence-based recommendations
- Confidentiality and transparent communication
- Practical delivery mindset
Contact
For consulting inquiries, please reach out via the Contact page. Due to limited availability, I focus on high-impact advisory engagements and technical reviews.