David Castro-Pena

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MPP. Data Science/Public Policy. University of California, San Diego
MSc. Computational Social Science. Stanford University.

Bulding solutions using data and evidence.

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ML and NLP

Detecting gender/age bias in healthcare using medical notes
Combining NLP analysis and Fuzzy Regression Discontinuity to discern whether medical outcomes/attention differs from gender, race, and age Skill used: PCC, Jaccard, and Chi-Squared; Principal Component Analysis; Logistic Regression; Latent Dirichlet Allocation; K-Means Clustering; and Fuzzy Regression Discontinuity.

Spatial Analysis and Impact Evaluation

Impact of Eviction over Shootings in NYC
Estimating the impact of evictions over shootings during the pandemic in NYC.
Skill used: Diff-in-diff regression, QGIS, spatial interpolation, STATA, regression, impact evaluation, policy analysis An electrification Plan to Increse Female Employment in South Africa SDGs 7 and 8
Using evidence and spatial data to create an electrification plan for incresing employment in South Africa.
Skill used: QGIS, spatial interpolation, STATA, financial analysis, multicriteria optimization Random Forest and Satellite Imagery Classification of Roofs in Bogota
Assessing economic welfare using machine learning image classification for two boroughs in Bogota-COL.
Skill used: QGIS, Google Earth Engine, STATA, poverty analysis, NDVI index, supervised learning

Applied Econometrics

Measuring the Impact of 1978’s SOE Privatization in Nanjing, China
Estimating the impact of evictions over shootings during the pandemic in NYC.
Skill used: Diff-in-diff regression, STATA, regression, impact evaluation, policy analysis Private Innovation and risk: An Empirical Analysis of Companies behavior in Poland
Analizing the determinants of R&D investment in Poland in 2014.
Skill used STATA, regression, impact evaluation, policy analysis, robustness analysis

Policy Analysis

Corruption and Participatory Budgets (BuB: the Phillipines’case)
Analyzing how institutions design and procedures create opportuntities for corruption.
Skill used: Literture review analysis, secondary data collection, qualitative analysis

The Colombian Bingo: the importance of trade promotion and infrastructure policies
Connecting research evidence to identify income-generating investments in Colombia’s main conflict regions.
Skill used: Macroecomic analysis, developing accounting
Can Colombia Learn from China’s Rural transformation?
Analyzing the determinants of China’s radical increment of TPF and extracting potential lessons for Colombia.
Skill used: Macroeconomic analysis, developing accounting


The political economy of authoritarian regimes

On Informational Autocrats: analyzing President Trump’s Twitter strategies
Connecting research evidence to identify income-generating investments in Colombia’s main conflict regions.
Skill used: Literture review analysis, secondary data collection, qualitative analysis

Credibility restoration, common enemies, and player elimination: a toolkit for long-term autocrats
Contrasting Deb’s research on autocratic behavior with neuroscience findings.
Skill used: Literture review analysis, secondary data collection, qualitative analysis


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