Gaining a sense of control over the COVID-19 pandemic

How one Kaggler took top marks across multiple Covid-related challenges. Today we interview Daniel, whose notebooks earned him top marks in Kaggle's CORD-19 challenges. Kaggle hosted multiple challenges that worked with the Kaggle CORD-19 dataset, and Daniel won 1st place three times, including by a huge margin in the TREC-COVID challenge. My research interests include probabilistic forecasting, causal inference and machine learning. As part of the Kaggle CORD-19 challenge I developed discovid.ai I'm also a student assistant where I've worked on several data science projects for the last 3 years and had the opportunity to work with real world data from different companies in highly diverse domains -- from predicting the waste in a sawmill to analyzing flaws in the process of surface galvanization and testing the efficiency of a marketing campaign.