Experience

EDHEC Infra & Private Assets

• Singapore
• Financial Services
• 1 - 100 Employee

• Senior Data Scientist

  • Aug 2022 - Present



Nanyang Technological University Singapore

• Singapore
• Higher Education
• 700 & Above Employee

• Research Fellow, Institute of Catastrophe Risk

  • Mar 2021 - Aug 2022

  Lead data-driven research to understand the resilience of communities to external threats (e.g, to COVID-19 lockdowns) by combining social network models and empirical surveys. In parallel, I manage relationships with outside research partners on separate projects.• Developed a theoretical model of dynamic social network. • Utilise Python to simulate the effects of a lockdown on the dynamics of meetings between individuals in social networks. • Perform statistical analyses to study the resilience of different types of communities to lockdowns with variable strictness. • Prepared a survey (coming in 2022) to better understand people's contact-making habits and identify relevant ranges for our model parameters.• Participated in workshops with the Center for Liveable Cities in Singapore, paving the way for collaborations to come.• A research paper showcasing my research findings is currently under review at Physica A: Statistical Mechanics and its Applications.



Max Planck Institute for Human Development

• Germany
• Research Services
• 100 - 200 Employee

• Post-doctoral Fellow, Centre for Adaptive Rationality

  • Jan 2018 - Dec 2020

  Conducted research to identify mechanisms that govern social information use and its effect on both individual and collective decision making. Planned and implemented rigorous research designs for experiments. Constructed datasets of structured and unstructured data from disparate sources. Cleaned and treated incomplete or ill-structured datasets for posterior analysis. Analysed and visualised data for identifying trends and patterns with R and Python. Built mathematical models and ran computer simulations with C++.• Published 4 articles in the Journal of the Royal Society Interface: “Impact of sharing full versus averaged social information on social influence and estimation accuracy”; in the Proceedings of the Royal Society B: “Strategies for integrating disparate social information.”; in PLOS Computational Biology: "Crowd control: Reducing individual estimation bias by sharing biased social information"; and in iScience: "Strategic disinformation outperforms honesty in competition for social influence".• Oral presentation on social influenceability and decision making at the 2019 Conference on Complex Systems in Singapore.



National Centre for Scientific Research (CNRS), Toulouse University III, Paul Sabatier

• PhD Student in Social Physics, LPT and CRCA

  • Oct 2014 - Dec 2017

  Investigated the effects of information quality and quantity on individual and collective decisions, social influenceability and collective behaviour in human groups. Effectively worked on simultaneous long-term projects with groups of multidisciplinary, international peers. Applied strong writing and storytelling skills in preparing high-quality articles, reports and presentations. • Interned for the “Data mining on Twitter” project at the NYU’s Center for Data Science. Used Python to mine data for identification of patterns in large-scale population mobility. • Completed research project at the University of Tokyo’s Social Psychology Lab, leading to publication of “How social information can improve estimation accuracy in human groups” in the Proceedings of the National Academy of Sciences (PNAS). • Published 2 more articles, “The impact of incorrect social information on collective wisdom in human groups” and “Collective information processing in human phase separation” in the Journal of the Royal Society Interface and the Philosophical Transactions of the Royal Society, respectively. • Conducted talks and presentations at notable international conferences and institutions such as the Opinion Dynamics and Collective Decisions Conference (Germany), the Conference on Complex Systems (the Netherlands) and the International Conference on Computational Social Sciences (Finland). Also attended the School on Complex Networks (Italy).