Jesse Davis


Dept. of Computer Science
Katholieke Universiteit Leuven
Celestijnenlaan 200A
3001 Heverlee

Fax: +32 16 32 79 96
Email: first name + dot + last name at cs dot kuleuven dot be
Office: 1.06

About Me

I joined K.U. Leuven in October 2010. I am a member of the Machine Learning group within the Declarative Languages and Artificial Intelligence Lab (DTAI).

I did a post-doc with Pedro Domingos at the University of Washington. I worked on Markov logic networks, which are publicly available as the Alchemy system. I am also involved with our recent MURI award entitled A Unified Approach to Abductive Inference. I did my Ph.D at the University of Wisconsin-Madison under the supervision of David Page.


We have released a performance analysis of the 2013-2014 season of the Belgian Pro Soccer League. The full press release is available from the KU Leuven press website. The story has appeared multiple papers, including De Morgen and De Standaard. For information, see our sports analytics website.

I will be program co-chair for the 24th International Conference on Inductive Logic Programming.

We organized a workshop on sports analytics at ECML/PKDD 2013.


  • Ph.D in Computer Sciences from the University of Wisconsin-Madison. (August 2007)
  • M.S. in Computer Sciences from the University of Wisconsin-Madison. (May 2005)
  • B.A. in Computer Science from Williams College. (June 2002)

    Current PhD Students

  • Daniele Alfarone
  • Marc Mertens (joint with Bart Vanrumste)
  • Tim Op De Beeck
  • Irma Ravkic
  • Jan Van Haaren


  • Nima Taghipour (Joint with Hendrik Blockeel)

    Former PhD Students

  • Nima Taghipour, graduated March 2013 (Primary advisor: Hendrik Blockeel)


    I have written a c++ package for learning the structure of a Markov network. It can be found here.

    Jan Van Haaren and I have another system, called GSSL, for learning the structure of a Markov network.

    Mark Goadrich and I have written a java package for generating ROC and Precision Recall curves. It can also calculate the area under the curve. The jar file is available here. For more information about ROC and PR curves, see our paper at ICML 2006.

    Selected Publications


    Refereed Conferences

    Book Chapters

    Refereed Workshops


    I teach a class on Data Mining as a part of the master in artificial intelligence program.


    When I was at the Univeristy of Washington, I ran the machine learning reading group.

    In the spring of 2008, I ran a seminar on Biomedical Applications of Artificial Intelligence.

    Professional Service