Joris Vankerschaver
Scholar

Joris Vankerschaver

Google Scholar ID: N5vV04AAAAAJ
Ghent University Global Campus
Statistical modelingdeep learningfundamentals of machine learning
Citations & Impact
All-time
Citations
349
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • Publication record is available on Google Scholar; code artifacts are shared on his GitHub account.
Research Experience
  • Worked for 8 years as a scientific software developer and consulting manager at Enthought Ltd in Cambridge, UK, before joining GUGC. Wrote code and advised companies in the life sciences sector on digital transformation and the effective use of AI in their operations.
Education
  • PhD from the now defunct Department of Mathematical Physics and Astronomy at Ghent University in 2007; Fulbright postdoc at Caltech (2007-09); teaching visitor at UC San Diego (2010-12); research associate at Imperial College, London (2012-13).
Background
  • Research interests include deep learning, statistics, and scientific computing, with a focus on applications in biotech and life sciences. Currently a professor of statistics at Ghent University Global Campus.
Miscellany
  • On recommendation letters: Please read this if you want him to write an effective letter of recommendation.