I am data scientist with product management background and passion for machine learning and financial data. My background is in behavioral science, statistics and human-computer interaction. I worked in venture capital and completed the Data Incubator bootcamp. I work in R and Python, see GitHub. I am particularly interested in:

  • learning at low false positive rate
  • fraud detection / anomaly detection
  • data visualization using RShiny, plot.ly, ggplot2
  • experimental design and evaluation with robust methods (e.g. mixed effects modelling with lme4)
  • algorithmic trading of indices, crypto currencies and arbitrage using machine learning

investments / board memberships

(past) projects

publications, conferences & workshops