Back to all members...

Lars Holdijk

MSc by Research (2021—2022)

My name is Lars Holdijk, master student in Artificial Intelligence at the University of Amsterdam. I am currently an ELLIS honours student supervised by Prof. Max Welling at the University of Amsterdam and Prof. Yarin Gal at the University of Oxford. My recent interest include a wide range of topics in machine learning such as probabilistic modelling, interpretability and robustness. Have a look at my publication list to get a quick overview.

I obtained my bachelors degree in computer science from the Rijksuniversiteit in Groningen in 2018. In between my bachelor and masters, I spend some time as a student researcher at Porsche in Weissach, Germany. After finalizing my masters degree I hope to join a PhD. program.


Publications while at OATMLNews items mentioning Lars HoldijkReproducibility and CodeBlog Posts

News items mentioning Lars Holdijk:

OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2023

OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2023

21 Dec 2022

OATML students Pascal Notin and Clare Lyle, along with OATML group leader Yarin Gal, are co-organizing the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2023 jointly with collaborators at GSK, Genentech, Harvard, MIT and others. OATML students Neil Band, Freddie Bickford Smith, Jan Brauner, Lars Holdijk, Andrew Jesson, Andreas Kirsch, Shreshth Malik, Lood van Niekirk and Ruben Wietzman are part of the program committee.

Link to this news item
OATML graduate students recognized as highlighted reviewers at ICLR 2022

OATML graduate students recognized as highlighted reviewers at ICLR 2022

25 Apr 2022

OATML graduate students Lars Holdijk, Jannik Kossen, Clare Lyle, and Sören Mindermann are recognized as Highlighted Reviewers for their reviewing at ICLR 2022.

Link to this news item
OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2022

OATML to co-organize the Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2022

15 Jan 2022

OATML students Pascal Notin, Andrew Jesson and Clare Lyle, along with OATML group leader Professor Yarin Gal, are co-organizing the first Machine Learning for Drug Discovery (MLDD) workshop at ICLR 2022 jointly with collaborators at GSK, Harvard, MILA, MIT and others. OATML students Neil Band, Freddie Bickford Smith, Jan Brauner, Lars Holdijk, Andreas Kirsch, Jannik Kossen and Muhammed Razzak are part of the PC.

Link to this news item


Blog Posts

OATML at ICML 2022

OATML group members and collaborators are proud to present 11 papers at the ICML 2022 main conference and workshops. Group members are also co-organizing the Workshop on Computational Biology, and the Oxford Wom*n Social. …

Full post...


Sören Mindermann, Jan Brauner, Muhammed Razzak, Andreas Kirsch, Aidan Gomez, Sebastian Farquhar, Pascal Notin, Tim G. J. Rudner, Freddie Bickford Smith, Neil Band, Panagiotis Tigas, Andrew Jesson, Lars Holdijk, Joost van Amersfoort, Kelsey Doerksen, Jannik Kossen, Yarin Gal, 17 Jul 2022

Are you looking to do a PhD in machine learning? Did you do a PhD in another field and want to do a postdoc in machine learning? Would you like to visit the group?

How to apply


Contact

We are located at
Department of Computer Science, University of Oxford
Wolfson Building
Parks Road
OXFORD
OX1 3QD
UK
Twitter: @OATML_Oxford
Github: OATML
Email: oatml@cs.ox.ac.uk