Conrad's experience lies at the intersection of data analysis, machine learning, and software engineering. After studying at the University of Chicago, Conrad was awarded a Fulbright Scholarship to research social network data in Germany. This research grew into a PhD in which Conrad applied machine learning techniques to social network data. As a grad student, Conrad enjoyed contributing to scikit-learn, competing in Kaggle competitions, and writing a research blog. Conrad went on to co-found Synference, which provided a machine-learning API useful for making realtime data-driven decisions. After Synference was acquired, Conrad continued to work on bandit algorithms and interactive dashboards at scale, gaining frontend and backend experience.
Conrad enjoys distance running and kitesurfing, and lives with his wife and 2-year old daughter in Vienna, Austria.