Teaching Portfolio

For the next
generation.

Evidence of teaching practice, philosophy and impact — across engineering supervision, MBA guest lectures, quantitative-finance workshops, and public engagement, from 2018 to today.

Dequn Teng leading a quantitative-finance session at CUATS, presenting at the screen to students
Leading a quantitative-finance session at the Cambridge University Algorithmic Trading Society.

01 — Teaching Philosophy

The learner at the centre

Effective education demands more than the transfer of technical knowledge — it cultivates independent reasoning, curiosity, and the confidence to engage with ambiguity. Four principles guide my practice.

01

Active problem-solving over passive reception

Students construct solutions from first principles. My 3P5 supervisions are built around progressively challenging problems in method study, lean manufacturing and factory layout — synthesis, not recall.

02

Bridging theory and practice

Drawing on Deutsche Bank, Unilever and Accelerate Cambridge, I ground theory in real cases — walking students from research paper to a trading strategy deployed live on QuantConnect.

03

Community as a learning environment

Learning is fundamentally social. Through LLM+ — 7,000+ members across 30+ universities — I build non-hierarchical spaces where doctoral researchers, academics and practitioners learn from one another.

04

Cross-cultural & cross-disciplinary exchange

The classroom is a site of mutual enrichment. Guest lectures for visiting Chinese MBA/EMBA cohorts and fireside chats on UK–China AI policy treat diverse perspectives as the engine of learning.

02 — Professional Recognition

Recognised practice

Fellowship

Associate Fellow of the Higher Education Academy

Enrolled in the Cambridge Teaching & Learning Recognition Scheme (Cycle 3) — a structured framework for evidence-based pedagogy, inclusive teaching design, and constructive alignment of outcomes and assessment.

AFHEA Track · University of Cambridge

Peer-Reviewed

Cambridge Teaching Forum 2025 — Lightning Talk

“Ready for the Real World: From Classroom Concepts to Career Triumph.” Selected competitively from an oversubscribed field by the Cambridge Centre for Teaching & Learning, reviewed by Senior Teaching Associates including Dr Cassie Violet Lowe (SFHEA).

April 2025 · Peer-Reviewed

03 — Postgraduate & MBA Teaching

Guest lectures and supervisions across Cambridge Judge and Sussex Business Schools, translating PhD research into frameworks for practitioner audiences.

  • Mar 2026AI in Business & LLM+ — visiting Renmin / Beihang cohortsCambridge Judge Business School · MBA / EMBA & college students
  • 2026MPhil Dissertation Supervision — AI, organisational risk & resilienceCentre for the Study of Existential Risk (CSER) · University of Cambridge · first dissertation student
  • Nov 2025“LLM+: AI-Native Research and Organisation”Sussex Business School MBA · invited by Prof. V. Martinez
  • Jul 2025Algorithmic Trading & Operations ManagementSussex Business School MBA · traditional vs. algorithmic trading
  • 2022–Strategic Management — resource-based view, ecosystem strategy, agilityCambridge Judge Business School · with Dr Chris Coleridge
  • 2022–Marketing (MS6) — consumer decision-makingCambridge Judge Business School · with Dr Shasha Lu

04 — Engineering & Technical Instruction

Weekly small-group supervision in industrial engineering, plus self-initiated undergraduate tutorials.

  • 3 yearsIndustrial Engineering (3P5)Method study · ergonomics · lean manufacturing · work measurement · factory layout · reliability · maintenance · co-taught with Prof. V. Martinez
  • 2018–21Software Engineering · Signals & Systems · DatabasesUniversity of Liverpool · self-initiated tutorials, materials online

05 — Quantitative Finance & Coding · CUATS

Employability-focused instruction bridging classroom knowledge and real technical challenges in quantitative finance — the subject of my Cambridge Teaching Forum talk.

  • 20+ sessionsBrain Teasers — quantitative-finance interview preparationBi-weekly · co-led with Dr Farouk Hadeed
  • 8 sessionsCoding Sessions — Option Factors Momentum, ML Basics, LLM-based US Equity, Crypto Pairs Trading, Night-Minus-Day Factor PortfoliosResearch paper → Python → backtest → live deployment on QuantConnect
  • 12 sessionsLeetCode Programming WorkshopsStrengthening algorithmic thinking and problem-solving
  • 5 sessionsElements of Statistical LearningFoundations of statistical learning · with Giovanni Pugliese Carratelli
  • ×3FED Day Socials — ML intraday portfolio optimisation at FOMC eventsBest strategy: 5.23% return · Sharpe 4.09 over two months

06 — Scholarly, Community & Public Engagement

Reading clubs, community education, conference presentations, and public science communication across engineering, management, AI policy and entrepreneurship.

  • 2023–LLM+ — Research Café, Monthly Showcase, Venture Idea sessionsWeekly community education · 122+ fellows with database access
  • 8 weeksOrganisational Theory & IS Reading ClubSelf-initiated · PhD & postdoc participants
  • Apr 2026“Who Controls the Algorithm? AI, Power & the Future of Work”Cambridge Student Admissions & Access · Lecture Recording 2026 · widening-participation lecture
  • Jan 2026LLM+ Co-Creation WorkshopMurray Edwards College · 4-hour venture workshop, 50+ international participants
  • Feb 2026CHIA Poster & Demo Workshop · From Lab to LaunchCo-developed with Dr Malak Sadek · conference communication for early-career researchers
  • Nov 2025Tsinghua Shenzhen Fireside Chat — AI Policy in China & the UKWith Prof. Yi Zhang and 20 Tsinghua students
  • 2025Girton Talks — “AI: Friend or Foe?”Public panel on human–algorithm interaction · with J. Walsh, J. Naish, S. Gillani
  • 2024–25AOM (Copenhagen & Chicago) · POMS (Minneapolis) · Oxford HAI WorkshopConference presentations on Gen-AI, business-model innovation & human–algorithm collaboration
  • 2026DRUID Conference 2026Leading conference on innovation, entrepreneurship & organization · research presentation
  • 2024Liverpool PhD Summer School (OSCM) — 3-minute research presentationFirst Place & People's Choice Award

08 — Impact & Reflections

Where it leads

5 → 7,000+ Growth of the LLM+ learning community — an indicator of demand for peer-led, research-oriented education.
Optiver · QRT· Students from my CUATS coding sessions have gone on to quant roles at Optiver, QRT and Brevan Howard.
CUATS Fund Strategies developed in my coding sessions have been incorporated into the live CUATS Fund.

My teaching spans engineering, management, entrepreneurship, AI policy and public science communication — engaging learners at every level from undergraduate to executive education. Engagement with the Cambridge Teaching & Learning Recognition Scheme has sharpened my thinking on constructive alignment, inclusive pedagogy and formative assessment. Looking ahead, I aim to develop modules at the intersection of technology management, algorithmic systems and organisational behaviour — where my research and teaching interests converge most naturally.