Teaching
I have taught since 2018 across engineering, management, quantitative finance and AI policy, from undergraduate supervisions to MBA guest lectures. My teaching favours problem-solving from first principles, grounds theory in cases drawn from industry, and treats the classroom and the research community as places where students learn from one another.
Recognition
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2025
Associate Fellow of the Higher Education Academy (AFHEA track)
Cambridge Teaching and Learning Recognition Scheme, accredited by Advance HE
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Apr 2025
Cambridge Teaching Forum: lightning talk, “Ready for the Real World: From Classroom Concepts to Career Triumph”
Peer-reviewed selection by the Cambridge Centre for Teaching and Learning
Postgraduate and MBA Teaching
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Mar 2026
AI in Business and LLM+
Guest lecture · Cambridge Judge Business School, visiting MBA and EMBA cohorts
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2026
MPhil dissertation supervision: AI, organisational risk and resilience
Dissertation supervisor · Centre for the Study of Existential Risk, University of Cambridge
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Nov 2025
“LLM+: AI-Native Research and Organisation”
Guest lecture · Sussex Business School MBA
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Jul 2025
Algorithmic Trading and Operations Management
Guest lecture · Sussex Business School MBA
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2022–
Strategic Management
Supervisor · Cambridge Judge Business School, with Dr Chris Coleridge
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2022–
Marketing
Supervisor · Cambridge Judge Business School, with Dr Shasha Lu
Engineering Supervision
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2022–25
Industrial Engineering (3P5)
Supervisor · method study, lean manufacturing, work measurement, factory layout, reliability and maintenance · with Prof. Veronica Martinez
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2018–21
Software Engineering, Signals and Systems, Databases
Tutorial leader · University of Liverpool, self-initiated tutorials
Quantitative Finance and Coding
Sessions run for the Cambridge University Algorithmic Trading Society.
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20+ sessions
Brain Teasers: quantitative-finance interview preparation
Workshop leader · bi-weekly, with Dr Farouk Hadeed
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8 sessions
Coding sessions: factor momentum, machine-learning basics, LLM-based equity, crypto pairs trading
Instructor · from research paper to Python backtest and live deployment on QuantConnect
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12 sessions
LeetCode programming workshops
Workshop leader
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5 sessions
Elements of Statistical Learning
Instructor · with Giovanni Pugliese Carratelli
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3 events
FED Day socials
Presenter · machine-learning intraday portfolio optimisation on FOMC days
Community and Public Engagement
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2023–
LLM+ Research Café, Monthly Showcase and Venture Idea sessions
Community educator · weekly sessions for 120+ fellows
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8 weeks
Organisational Theory and Information Systems reading club
Founder · PhD and postdoc participants
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Apr 2026
“Who Controls the Algorithm? AI, Power & the Future of Work”
Public lecture · Cambridge Student Admissions and Access, widening-participation series
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Jan 2026
LLM+ Co-Creation Workshop
Workshop lead · Murray Edwards College, 50+ participants
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Feb 2026
CHIA Poster and Demo Workshop: From Lab to Launch
Co-designer · with Dr Malak Sadek
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Nov 2025
Fireside chat on AI policy in China and the UK
Presenter · with Prof. Yi Zhang and visiting Tsinghua students
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2025
Girton Talks: AI, Friend or Foe?
Panel speaker · public panel on human–algorithm interaction
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2024–25
Academy of Management, POMS and Oxford Human–Algorithm Interaction Workshop
Presenter · conference presentations on generative AI and business-model innovation
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2026
DRUID Conference 2026
Presenter
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2024
Liverpool PhD Summer School: three-minute research presentation
First Place and People's Choice Award
Outcomes
- LLM+ has grown from five members to more than 7,000.
- Students from the CUATS coding sessions have gone on to quantitative roles at Optiver, Qube Research & Technologies and Brevan Howard.
- Strategies developed in the coding sessions are run in the live CUATS Fund.
In the Classroom





