All posts by Aske Plaat

About Aske Plaat

Professor of Data Science at Leiden University

Aske Plaat

FotoAske2

Professor & Scientific Director
Department of Artificial Intelligence & Computer Science (LIACS)
Leiden University, Snellius 158
Niels Bohrweg 1, 2333 CA Leiden, The Netherlands

Research Interests
I am professor and scientific director of LIACS, the Leiden institute for artificial intelligence and computer science. I work in reinforcement learning and games, I am interested in self-learning systems. LIACS has a very active reinforcement learning group, please see our webpage. Please have a look at my new book:

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Open positions in Artificial Intelligence and Computer Science
LIACS is growing. There is very strong interest in our work in Artificial Intelligence, Data Science and Computer Science; by companies, researchers and students. LIACS has open positions for faculty, postdocs and PhD students. We stand for excellence in science and education, in a culture of fun and collaboration. Does that sound like you? Leiden is wonderful. Please see the LIACS web pages.

Bio
I studied artificial intelligence under the guidance of Jonathan Schaeffer at the University of Alberta, Edmonton and Arie de Bruin & Wim Pijls at the Erasmus University, Rotterdam where I obtained my PhD in 1996. I worked with Charles Leiserson at the MIT Lab for Computer Science, Cambridge, Massachusetts, on the Cilk parallel computing system. Later I worked with Henri Bal at VU Amsterdam on scalable algorithms. In 2014 I joined Leiden University; in 2016 I was appointed scientific director of LIACS.

Longer Bio.

Office 
Snellius 158

Appointments
All appointments and other requests are handled by Daniëlle Toret, 071-527.7061

Email

Quotes

Just do it – Nike slogan

Never express yourself more clearly than you are able to think – Niels Bohr

Dans les champs de l’observation le hasard ne favorise que les esprits prepares – Louis Pasteur
(often rendered as: Chance favors the prepared mind)

A language that doesn’t affect the way you think about programming, is not worth knowing – Alan Perlis

Try – Fail – Try again – Fail better