webinar register page

Webinar banner
Michelle Seng Ah Lee Discusses Challenges of Algorithmic Fairness in Financial Services


Jul 29, 2020 12:40 PM

Webinar logo
* Required information

By registering, I agree to the Privacy Statement and Terms of Service.



Michelle Seng Ah Lee
PhD Researcher, Compliant & Accountable Systems Research Group @University of Cambridge
Michelle Seng Ah Lee is a Ph.D. candidate at the Dept. of Computer Science & Technology in the Compliant and Accountable Systems group. Her research focuses on fairness, bias, and discrimination in machine learning algorithms and their trade-offs on aggregate and individual levels. Michelle holds an MSc in Social Data Science from the Oxford Internet Institute, where she was a part of the Digital Ethics Lab. She completed her undergraduate degree at Stanford University. Outside of Cambridge, Michelle is a part-time Manager in Risk Analytics at a Big 4 professional services firm, specialising in designing the enterprise AI ethics framework and controls library for financial services. Michelle is an active volunteer and former UK Chapter Lead at DataKind, a pro bono data science charity.