2–4 weeks
Scientific AI Audit
An independent evaluation of a scientific AI system, its outputs and the methodology used to validate it.
- Review of model and workflow output against real scientific tasks
- Catalogue of failure modes and edge cases
- Benchmark and evaluation-set design grounded in actual research work
- Recommendations for human-in-the-loop review and governance
For scientific-AI and drug-discovery companies, life-science software vendors and biotechs adopting AI.
2–6 weeks
Computational R&D Assessment
A structured review of your computational strategy, research data architecture, pipelines, models, vendors and scientific workflow.
- Current-state assessment of platforms, data and team capabilities
- Vendor and tool evaluation against your real workflows
- Identification of high-value AI opportunities and risks
- A prioritized, costed roadmap
For seed-to-growth-stage biotech CEOs, CSOs and CTOs.
Focused project
AI Scientific Validation
Independent assessment of whether specific AI-generated analyses, reasoning or recommendations are biologically and computationally defensible.
- Expert review of AI-generated scientific outputs
- Design of domain-specific problem sets and grading rubrics
- Error analysis with clear explanations of what went wrong and why
- Guidance on where outputs can be used directly versus reviewed
For AI labs, pharma innovation groups and life-science software teams.
Rapid turnaround
Scientific & Technical Due Diligence
A rapid, expert review of a computational biology or AI drug-discovery platform, its scientific claims and its key risks.
- Assessment of scientific claims and supporting evidence
- Review of computational methods, data assets and architecture
- Team and technology risk evaluation
- Clear written findings to support an investment or partnership decision
For investors, acquirers, strategic partners and consultancies.
Monthly retainer
Fractional Scientific AI Advisor
Standing senior advisory, providing computational biology and scientific-AI leadership without adding a full-time executive.
- Regular strategy and architecture reviews
- Vendor, partner and platform evaluation as decisions arise
- Support for leadership, boards and technical teams
- Grant and proposal strategy, drawing on a record of successful NIH SBIR funding
For small and mid-size biotech, scientific-software and AI companies.
Per proposal
Grant & SBIR Proposal Development
Strategy and writing support for NIH SBIR/STTR and other research grant proposals, from someone who has written them and won.
- Funding-opportunity and agency fit assessment
- Specific aims, research strategy and commercialization plan
- Budgets and milestones reviewers will find credible
- Resubmission strategy: both phases of my own SBIR program were funded on resubmission
For early-stage biotech and life-science software companies seeking non-dilutive funding.
Project or interim
Computational R&D Leadership
Hands-on project or interim leadership for scientific software, research informatics, computational biology or AI-enabled R&D programs.
- Program definition, staffing plan and milestones
- Scientific software and data-platform architecture
- Data standards and validation criteria
- Bridging scientific leaders and technical teams through delivery
For organizations launching or rescuing a computational initiative.