Mentoring
Support for the next stretch of your journey
I mentor the way I teach: start from where someone actually is, connect every skill to a real problem, and give feedback that's honest enough to be useful. My own path went through a state scholarship, three degrees on two continents, and a career that moves between the lecture theatre and production AI systems — so I mentor people who are navigating similarly non-linear routes into data, AI, and research.
Apply for mentoringWho This Is For
Mentoring is open to
- Students moving from beginner to job-ready in data analysis, data science, ML, or AI
- MSc and final-year undergraduates planning or writing a research project
- Early-career professionals transitioning into data/AI roles
- Academics considering a move into industry, or industry practitioners considering academia
- Aspiring researchers developing a topic, methodology, or publication plan
Areas of Support
What we can work on together
- Breaking into data analysis, data science, ML and AI
- Moving from beginner to job-ready practitioner
- MSc and final-year project guidance
- Research topic development
- Research methods and academic writing
- Technical project planning
- Portfolio development
- Professional certification planning
- Academic career development
- Industry transition for academics
- Responsible use of AI in research
- LinkedIn and technical-content positioning
Formats
How mentoring works
One-to-one mentoring
Recurring 1:1 sessions focused on a specific goal, over an agreed number of weeks.
Group mentoring
Small-cohort sessions for people at a similar stage, working through shared material.
Research supervision support
Structured feedback on a research proposal, methodology, or dissertation chapter.
Career strategy session
A single focused session mapping out next steps for an academic or industry transition.
Project review
One-off review of a technical project, portfolio piece, or codebase with written feedback.
Speaking or workshop request
Request a talk or workshop for a student society, bootcamp, or professional community.
Every format above is currently offered without charge. Paid mentoring options may be introduced in the future and would be stated clearly before you apply.
Process
How to apply
- Step 1
Submit an application
Tell me about your current challenge and desired outcome via the application form.
- Step 2
Personal review
Every application is read personally — given the volume, not everyone can be accepted.
- Step 3
We get started
If it's a good fit, we'll agree a format and cadence that works for you.
Questions
Frequently asked questions
- Is mentoring paid?
- Not currently — all mentoring formats listed here are offered without charge. If that changes, it will be stated clearly before you apply.
- How much time does mentoring take?
- It depends on the format you choose. One-to-one and group mentoring are typically a recurring session every 2–4 weeks; project reviews and career strategy sessions are single sessions.
- What happens after I apply?
- Applications are reviewed personally. Given the volume of interest, not every application can be accepted — you'll hear back either way.
- I'm not a student — can I still apply?
- Yes. Mentoring is open to early-career professionals and academics in transition, not only current students.