Teaching

Teaching & learning lab

I design practice-first economics classrooms where students build analytics confidence, connect theory to policy, and learn how to collaborate across disciplines.

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Courses & workshops 12 since 2021
Teaching focus Econometrics 路 Development 路 Data science
Learning pillars Hands-on 路 Inclusive 路 Research-driven
Research-informed pedagogy Reproducible coding labs Peer collaboration rituals

Teaching philosophy

I believe students learn best when they can immediately connect theory to lived economic challenges. Each session blends narrative, computation, and collaborative problem-solving so students graduate with both analytical rigour and practical instincts.

  • Applied first: Labs launch with policy datasets before we formalise the model.
  • Evidence-based: We use emerging research, including my own projects, to spark debate.
  • Inclusive: Classroom rituals ensure everyone contributes, learns, and feels heard.
Courses & workshops

Helping students turn data into policy insight

Recent teaching roles span undergraduate capstones, MSc econometrics, and bespoke skills labs for policy partners.

Undergraduate Core module

ECON0002 Economics

Year 1 路 University College London 路 2025鈥?026

  • Lead weekly tutorials that tie micro and macro foundations to contemporary policy debates and datasets.
  • Co-design formative assessments and feedback clinics to strengthen analytical writing and problem-solving.
Discuss TA support
Undergraduate Capstone

ECON0042 Independent Research Project

Final year 路 University College London 路 2024鈥?025

  • Guided students through evidence design, replication, and policy framing.
  • Delivered code reviews and reproducibility audits each fortnight.
Request syllabus
Masters Skills lab

ECON0063 Topics in Money & Finance

MSc 路 University College London 路 2023鈥?024

  • Developed machine-learning labs for financial market microstructure.
  • Built collaborative dashboards translating LLM tools into policy insights.
Access materials
Graduate Econometrics

EC402 Econometrics

MSc 路 London School of Economics 路 2021鈥?022

  • Produced lecture transcriptions and lab walkthroughs for causal inference.
  • Ran office hours focused on translating proofs into executable code.
Discuss collaboration
Learning resources

Tools that travel beyond the classroom

Students receive structured resources that support independent projects and policy placements.

Course companions

Weekly briefs summarising objectives, datasets, and follow-up readings with links to reproducible code.

Preview sample brief

Skills labs

Python and R notebooks covering machine learning, causal inference, and workflow automation with step-by-step annotations.

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Mentoring clinics

One-to-one sessions helping students scope dissertations, set up data pipelines, and navigate interdisciplinary projects.

Book a mentoring slot
Recognition

Celebrating student partnership

Teaching awards reflect the collaborative ethos I bring to every classroom.

  • UCL Best MSc Optional Modules TA 路 2024
  • UCL Departmental Studentship for pedagogical innovation 路 2023鈥擯resent
  • LSE Excellence in Macroeconomics Award for Knowledge Sharing 路 2020 & 2021

Design a session together

Whether you need a guest workshop, curriculum support, or bespoke mentoring for students, I鈥檇 love to collaborate.

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