Pandemic Machine Learning Pitfalls

Today on the show Derek Driggs, a PhD Student at the University of Cambridge. He comes on to discuss the work Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT Scans.

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Guest

Derek Driggs: I’m Derek Driggs, a researcher in machine learning and optimization. I am a quantitative researcher, sometimes trading equities and sometimes working on optimal execution algorithms. Before this, I was pursuing a PhD in the Cambridge Centre for Analysis at the University of Cambridge under the supervision of Prof. Carola-Bibiane Schönlieb. I am grateful to be a Gates Cambridge scholar and a member of the CCIMI.