Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Alun Biffin

Alun Biffin
Data Scientist, Van Lanschot Kempen

Alun Biffin is a data scientist at Van Lanschot Kempen, where he applies machine learning to real-life business problems ranging from analyzing millions of web hits for online retailer to predicting customer behavior at one of the Netherland’s largest private banks. Previously, Alun was a Marie Curie fellow at the Paul Scherrer Institute, Switzerland, where he designed and conducted groundbreaking experiments on quantum magnets at cutting-edge facilities in Europe, the US, and Japan. He has presented his work at international workshops and conferences and published three papers as first author. His work has been cited over 100 times. He was also a recipient of the highly selective ASI Data Science Fellowship, London, in the summer of 2018. Alun holds a PhD in condensed matter physics from the University of Oxford.


14:0514:45 Wednesday, 1 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Alun Biffin (Van Lanschot Kempen), David Dogon (Van Lanschot Kempen)
Average rating: ****.
(4.45, 11 ratings)
Alun Biffin and David Dogon explain how machine learning revolutionized the stock-picking process for portfolio managers at Kempen Capital Management by filtering the vast small-cap investment universe down to a handful of optimal stocks. Read more.