About
Data scientist and computational social scientist with 13 years of experience in global climate policy and international development. Deep domain expertise in sustainable investment, climate finance, carbon markets, and illicit finance demonstrated by peer-reviewed publications in top scientific journals. Skilled in bridging research and policy interface by combining quantitative research with pragmatic policy proposals, and experienced in high-level political advocacy (UN, NGOs). Specialty is communicating complex concepts in a clear and impactful way to different stakeholders (policy-makers, media, students).
Data Scientist & Climate Policy Expert
- Currently Director at Green Finance AI
- Previously Brown University, Center for Global Development, United Nations Economic Commission for Africa, Tax Justice Network, ICLEI Africa
- 13 years of experience
- PhD Environmental Science and Management from University of California, Santa Barbara
- Master's degrees Statistics, Economics and Public Policy, and Economic History
- Alumna University of California, London School of Economics, Sciences Po Paris, École Polytechnique (X), University College London
- PhD-level trained in statistical data science and machine learning
- Cutting-edge in open and reproducible science
- Interactive dashboards and tools
- An eye for design and polished presentations
- Policy proposals in international organizations, think tanks, NGOs
- Expertise in climate finance, carbon markets, sustainable investments, illicit finance, international trade
- Communicating complex concepts to lay audiences
Facts
Publications
Public Interventions
Open-Source Repositories
Awards
Students
Languages
Tech Stack
I love programming and I am always looking to level my skills up. As a result of my keen interest in coding, in addition to the concrete projects that I have delivered for clients and employers over the years, I have acquired a substantial technology stack. I work with the full suite of scientific computing software, including the major Python libraries (Numpy, Pandas, scikit-learn).
Scientific Computing
General Purpose Programming
Front-end
Scientific Reproducibility
Cloud Computing
Database Management
DevOps
Skills
I have developed my quantitative and statistical reasoning skills over 7 years of formal training in graduate school in statistics and econometrics. My Master's degrees were all highly quantitative and my PhD qualifying examinations were in statistics (GPA: 4.0).
Statistics
- Regression analysis
- Hypothesis testing
- Time series forecasting
- Model selection
- Network analysis
- ANOVA
Causal inference
- A/B testing
- Regression discontinuity design
- Difference-in-difference
- Instrumental variables
- Panel data
- Synthetic control
- Interrupted time series
- Matching and propensity score weighting
Machine learning
- Classification: logistic regression, naive Bayes, support vector machines, K-nearest neighbor
- Tree-based methods: decision tree, random forest, XGBoost
- Feature engineering
- Dimension reduction: principal components analysis, factor analysis
- Regularization
- Hyperparameter tuning
- Model evaluation and loss metrics
- Clustering: K-means, hierarchical, DBSCAN, spectral
- Deep learning: artificial neural networks, generative adversarial networks, natural language processing
- Causal learning
Computational methods
- Constrained optimization
- Expectation–maximization algorithm
- Genetic algorithm
- Sampling algorithms
- Inter- and intrapolation
- Numerical integration
Resume
Scroll down to download my one-page resume or my academic CV.
Education
PhD in Environmental Science & Management
2016 - 2021
Bren School, University of California Santa Barbara, CA
- Grade: 4.0. Qualifying exams: statistics and comparative politics.
MA Statistics
2017 - 2020
University of California Santa Barbara, CA
- Grade: 4.0.
MA Economic History
2010 - 2011
London School of Economics, London, UK
- Obtained with Merit.
MSc Economics & Public Policy
2009 - 2010
Sciences Po Paris & École Polytechnique, France
BA (Hons) European Social & Political Studies
2005 - 2009
University College London, UK
- Obtained with First Class Honors.
Professional Experience
Lead Machine Learning Engineer
03/23 - 06/23
Omdena
- Selected as part of a global collaboration of 20 engineers using AI for good.
- Working with partner company Agreed Earth to develop an AI system to remotely monitor nitrogen-flow in farms in real-time.
Postdoctoral Researcher
2021 - 2023
Watson Institute for International and Public Affairs, Brown University
- Affiliations with the Climate Solutions Lab and the Rhodes Center for International Economics and Finance.
- Working on how to catalyze private sector investment in the green transition.
Doctoral Researcher
2016 - 2021
Bren School of Environmental Science and Management, University of California Santa Barbara, CA
- Applying innovative quantitative methods from econometrics and statistics to solve pressing environmental problems.
- Dissertation: "A methodological toolkit to understand complex policy problems: applications to climate change and illicit finance".
Instructor / Teaching Assistant
6 classes throughout 2017 - 2020
University of California Santa Barbara, CA
- Classes include "Introduction to Research Methods" (undergraduate) and "Business & the Environment" (graduate).
- Used innovative teaching strategies to introduce students to statistics, computer programming, and other technical concepts.
- Consistently received rave reviews.
Consultant
2015 - present
Various clients
- Clients include the United Nations Economic Commission for Africa, Tax Justice Network, and Global Commission on Business and Sustainable Development.
Research Associate
2014 - 2015
Center for Global Development in Europe, London
- Bridging research and policy interface by combining rigorous research with practical policy proposals and designing intuitive tools to aid decision-making.
- Developed the SkyShares climate simulation tool for policy-makers, featured in The Guardian.
Research Assistant
2012 - 2014
Center for Global Development in Europe, London
- Quantitative research on climate change and illicit finance.
Climate Change Internships
Summer 2009
LaquaR Consultants CC & ICLEI Africa Secretariat, Cape Town, South Africa
- Research on climate change adaptation.
Portfolio
Below is a selection of my data science projects. Please refer to my CV for a full list of publications.
- All
- Climate Change
- Illicit Finance
- Algorithms
- Software
Trusted By
UN-DESA
Consultant
Outlier
AI Training Specialist in Statistics
Brown University
Postdoctoral Fellow
Omdena
Lead Machine Learning Engineer
UNECA
Consultant
University of California Santa Barbara
Instructor
Center for Global Development
Research Associate
Tax Justice Network
Consultant
Business & Sustainable Development Commission
Consultant
Contact
Snail Mail
111 Thayer Street, Box 1970
Brown University
Providence, RI 02912