Vorsprung Durch Devolution
Despite a remarkably successful Covid-response in Germany, the grass is always greener on the other side. In this opinion piece, Axel Heitmueller and I discuss healthcare decentralization envy, to contrast pandemic readiness in Germany with the UK.
AI: Cherry on the Cake
This summary article offers my view of and prediction for AI in healthcare: less grandiose hype, more real quality of care. It was published in the magazine of Germany's largest payer organization.
artificial intelligence hype
Hacker's Guide to Healthcare
Speaking at the world's second-largest hacker conference, 36C3, I provided an overview of ways for the hacker community to get involved in healthcare. This was a very exciting experience, connecting my work in policy with my dream of speaking at a chaos communication congress.
data science healthcare
Switching from hands-on data science into policy advisory, I was surprised about the amount of hype surrounding artificial intelligence and blockchain. In my first opinion piece, I argue for more attention to the "boring" task of collecting quality training and testing data.
artificial intelligence blockchain
This project used state-of-the-art forecasting ideas to provide probabilistic, as well as counterfactual, forecasts of retail demand across thousands of products.
pytorch lightgbm RNNs time series
Deep Causal Inference
Parsing causal signal from observational data is notoriously difficult. This project attempts to get good estimates for price elasticity of demand in a setting typical for ecommerce and retail.
tensorflow causal inference
Humanitarian Mapping with Deep Learning
In situations of humanitarian disaster, available map material is often not good enough for efficient relief efforts. This project explored convolutional neural networks to pre-classify images for the humanitarian openstreetmap team.
python CNNs caffe
Angrier Birds: Bayesian Reinforcement Learning
We train a reinforcement learner to play the game Angry Birds. We show that the efficiency of regular ε-greedy Q-Learning can be improved through more systematic exploration in Randomized Least Squares Value Iteration (RLSVI), an algorithm that samples its policy from a posterior distribution on optimal policies.
python reinforcement learning
Constitutional Precedent of Amicus Briefs
We investigate language in U.S. Supreme Court majority opinions that originate from interest groups' amicus briefs. For this work, we compiled and analyzed a large corpus of legal text to track the origination of concepts and ideas gaining precedence.
python webscraping legal tech
Sentiment as a Predictor of Wikipedia Editor Activity
We perform sentiment analysis on messages exchanged between Wikipedia editors in the so-called "user talk pages," to predict future user editing behavior. Our findings could be used better engage editors, potentially resulting in better article quality.
And1: Skip to My Loop!
We built a "basketball"-playing robot, competing against 35 other teams after just under three weeks of construction.
robotics Arduino C
Evolutionary Extortion and Mischief: Zero Determinant Strategies in Iterated 2x2 Games
My BSc thesis in economics explored a surprising discovery in iterated 2x2 games. I showed that extortion is feasible in more games than just Prisoner's Dilemma, and simulated convergence behavior. I am proud that as an early and accessible summary, my paper was cited by several researchers.
game theory C++