Columbia University Mailman School of Public Health
Lead research on how digital and AI-mediated systems influence real-world financial decisions.
Design and analyze large-scale observational and experimental studies in R and Python.
Co-develop and evaluate applied interventions, including AI-assisted savings support and chatbot-based behavioral interventions with external partners.
Postdoctoral Researcher
Columbia University Mailman School of Public Health
Designed and executed behavioral science studies on financial and health behaviors, combining experimental methods, survey research, and quantitative analysis.
Investigated how individual and structural factors shape decision-making under uncertainty.
Executive Director
Junior Researcher Programme
Leading the JRP Team to create opportunities and collaborations within the psychological sciences for ECRs and students globally.
Facilitating projects on impactful research themes with an emphasis on open and generalisable science.
Director of Sustainability & Strategy
Framework for Open and Reproducible Research Training (FORRT)
Strategic reimagining of open science infrastructure via multi-stakeholder governance models.
Structuring a multi-layer funding pipeline to ensure sustainable growth of community research.
Research Associate
Centre for Business Research, Cambridge Judge Business School
Organise annual international behavioural research projects spanning multiple countries.
Coordinate a three-week research stay for almost 40 researchers.
Research Consultant
World Bank Group - Mind, Behavior & Development Unit
Systematic review and meta-review coding of the Behavioural Science of the COVID-19 pandemic.
Research reviews to inform policymakers and communicate intervention design to government bodies.
Responsible for producing timely and audience sensitive research outputs.
Research Assistant
Heidelberg University
Awarded a 14-month scholarship, the Baden-Württemberg Stipendium, to conduct research.
Leveraged physiological data including heart rate, galvanic skin conductance, and salivary cortisol.
Collected fMRI neuro-feedback data and co-authored related publication.
Education
PhD in Experimental Psychology
Oxford University
Thesis on metacognitive decision confidence in categorisation tasks. Supervised by Prof Nick Yeung.
Max Planck Insitute for Human Development ∙
June 2025
The Summer Institute on Bounded Rationality brings together talented early-career researchers and renowned scientists from around the globe and aims to spark a dialogue about decision making under the real-world constraints of limited time, information, and computational power. The program covers the fundamentals, methodology, and recent findings on bounded rationality. The 2025 Summer Institute approached the digital world through the lens of bounded rationality and interdisciplinary research on human decision making.
Learned a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Topics included: Large-scale collaborative scientific code development with git and code forges, testing and debugging scientific code, scientific programming patterns in Python, and writing parallel applications in Python.
Essex Summer School (ESS) in Social Science Data Analysis ∙
July 2022
Explored the theory behind Bayesian data analysis, and common models in the social sciences, like t tests, ANOVA, and regression. Advanced to more complicated models such as Markov Chain Monte Carlo (MCMC) methods, which give Bayesian methods their immense flexibility and power. Explored tools to fit a wide variety of models easily, through the use of the JAGS and stan software.
Modules 1 consisted of a series of units based around biological examples which are supported with mathematical background reading: The examples show how the maths techniques can be used to model and analyse biological systems, with code examples of computer programming. Learnt hands-on coding using MATLAB for function handling and modelling and R for doing statistics. An extensive mathematical background section is included.
Online course designed to improve both inferences in statistical analyses. Produced by TU/e Technical University Eindhoven instructed by Daniel Lakens.