Economist · Lecturer
I am a Lecturer in Economics at SOAS University of London. My research combines applied microeconomics, causal inference and text analysis to study political communication, hate crime and racial discrimination.
Profile
My research asks how political messages and electoral incentives shape social conflict, and how bias is reflected in markets. I use high-frequency event data, natural language processing and applied econometric methods to turn complex social questions into testable empirical research.
Alongside research, I design and lead quantitative teaching across undergraduate and postgraduate programmes. I also contribute to programme development, academic support, widening participation and institutional work on inclusive and responsible uses of AI in education.
Research
Three essays on conflict, social bias and racial discrimination
Political communication · India
Explores how political communication relates to communal tensions in India, combining computational analysis of political language with applied empirical methods.
Text analysis · Applied microeconometrics
Elections · Social conflict
Studies the relationship between electoral politics and communal tensions in India using applied microeconomic theory and quantitative evidence.
Causal inference · Panel data
Racial discrimination · Online markets
Investigates whether skin tone is associated with footballers' prices on an online gambling platform, tracing unequal treatment across the price distribution.
Unconditional quantile regression · Decomposition methods
Publication
The paper finds that darker skin tone is associated with lower online purchase prices, with statistically significant disparities concentrated in the lower part of the unconditional price distribution.
Read the open-access articleTeaching
Econometrics, mathematics, R and Python
I teach quantitative methods at undergraduate and postgraduate level. My classes combine economic and econometric theory with practical work in R and Python, using real data and policy examples wherever possible.
Undergraduate
Core mathematical methods and their application to economic problems.
Undergraduate
Econometric theory and applied analysis for students building on introductory methods.
Postgraduate
Regression modelling, diagnostics and applied interpretation using R.
Postgraduate
Advanced causal and econometric methods, with practical implementation and replication in R.
Postgraduate
Practical workshops supporting students to work confidently and reproducibly in R.
Postgraduate · Contributing
Contributing to teaching on data preparation, analysis and visualisation in Python.
Fellow of Advance HE2026
Excellence in Teaching nominee2026
Students' Choice for Outstanding Experienced Tutor2020
Outstanding Performance for an Established Tutor2019
Leadership
Programme development, inclusive education and public engagement
At SOAS, I combine programme leadership with work on student experience, inclusive attainment, academic support and outreach. My focus is practical: identifying barriers, building useful interventions and helping students see where economics can take them.
Curriculum and teaching
Co-developing new MSc Data Science programmes and leading modules in econometrics, R and Python. I also recruit and mentor Graduate Teaching Assistants and have delivered training for new GTAs and Associate Lecturers.
Equity and support
Department lead for Bridging the Gap, lead author of awarding-gap analysis, College representative on the Awarding Gap Task and Finish Group, and co-lead of the academic stream informing SOAS's academic-support redesign.
Pedagogy and AI
INERME Associate and co-organiser of a departmental teaching and learning away day focused on AI in assessment and education. My practice uses AI, peer assessment and active learning to support inclusive quantitative teaching.
Access and recruitment
Economics masterclasses, school and sixth-form talks, summer-school teaching and university recruitment activity in the UK and India, including engagement with prospective students and academic partners.
Farnborough, Leyton, St Charles and Woodhouse sixth-form colleges; Queen's Park Community School; Chestnut Grove Academy; SOAS Year 10 and Year 12 summer schools; UCAS Twickenham; and offer-holder and partnership activity in New Delhi and Mumbai.
Experience
2023 - present
Module leadership across econometrics and data analytics; Department Convenor for Student Experience; academic advising; undergraduate project and MSc dissertation supervision; GTA recruitment and mentoring.
2018 - 2023
Teaching across Economics, IDS and SPRU, including macroeconomics, microeconomics, development, quantitative methods, Python workshops and a Stata statistics bootcamp.
2016 - 2017
Analytics and forecasting work for Merck & Co., including market-dynamics tools, scenario analysis and pharmaceutical forecasting.
Contact
I welcome conversations about applied econometrics, political economy, quantitative teaching and responsible uses of AI in economics education.