AI-for-Science is moving fast. Setting up the operations, sourcing the right researchers, and building communities of practice takes more than most teams expect. I help research teams build engagement operations from scratch, scale past the bottleneck, or run engagement for you fractionally.

For: Teams whose researcher engagement, partnerships or case study work has outgrown ad-hoc effort.

What you get:

• Diagnostic of current state: interviews, current outputs, pain points

• Designed framework: lead pipelines, methodology, CRM structure, governance

• Pilot delivery: 2-3 case studies or partnerships produced as proof of method

• Handover documentation plus 30 days of post-engagement support

Typical shape: 30 days · Remote with optional in-person workshops · Available globally

For: Teams with active research partnerships; teams whose founders or CTOs are writing case studies themselves and hitting volume ceilings.

What you get:

• 2-3 case studies per month with multi-register output (technical-depth, executive summary, popsci version)

• End-to-end production: interviews, drafting, fact-checking, review cycles, image and asset sourcing

• Operational scaffolding: pipeline tracking, governance for which stories get told

Typical shape: 3-month minimum retainer · Remote · Available globally

For: AI labs, research organisations and platforms sourcing domain experts for evaluations, training data, advisory, or partnerships. 

Typical shape: 3 to 4 weeks per niche · Remote · Available globally

What you get:

• Defined research niche or topic scope

• Curated longlist of 30 to 50 researchers with engagement notes

• Top-10 ranked shortlist with suggested outreach approach

• Optional: warm-introduction support where my network overlaps

For: Teams who've identified the capacity need but don't want to make a full-time hire yet.

What you get:

• Flexible arrangement, 1-2 days per week typical

• Direct contribution to your research engagement pipeline

• Advisory support to your existing team

Typical shape: Minimum 3-month engagement · Remote or Hybrid

Email: katy@katymould.com

LinkedIn: linkedin.com/in/katymould

Portfolio: katymould.com/portfolio

Substack:

I'm Dr Katy Mould, a former researcher with a PhD in synthetic organic chemistry who became a senior program leader in emerging technologies. Often found at the intersection of technology program management, product discovery, research operations, AI-for-Science and science communication.

After my PhD in natural product chemistry at the University of St Andrews, I left the bench to deliver science communication, public engagement, and education programs at the Royal Society of Chemistry, Glasgow Science Centre, and BBC Studios.

I spent five years building VR and immersive learning programmes for chemistry and life sciences at Labster, then Edify and Soluis. In 2024 I joined Google DeepMind's Impact Accelerator as research engagement lead for AlphaFold, where I built the impact evaluation methodology now deployed across all GDM frontier models, and authored case studies featured in AlphaFold: Five Years of Impact, which reached over 15 million people.

Now I work with AI-for-science companies, biotech platforms, and research organisations on the operational craft of research engagement. Alongside consulting, I'm building Consilience, an AI-for-Science research intelligence platform applying multi-stage LLM triage to scientific research data to understand the downstream impacts and implications of AI in scientific research.

I'm based in Edinburgh but quite frequently found elsewhere.

Not sure which option is right for you or your team?

Book a free 30-minute Discovery Call. Tell me what you're trying to build and where the bottlenecks are. If there's alignment, I'll send a 1-page proposal within 5 business days.