Joris M. Mooij is affiliated with the University of Amsterdam in the Netherlands. Their research primarily falls within the field of Computer Science with a focus on several subfields including Artificial Intelligence, Statistics and Probability, Molecular Biology, Management Science and Operations Research, and Computational Theory and Mathematics.
The scientist's main topics of work span a number of areas related to causal inference and computational methods. These include:
Mooij has contributed extensively to the academic community with numerous publications. Key recent papers by the scientist include:
Mooij's work appears frequently in the venue arXiv (Cornell University), with 21 publications, and also in the Journal of Causal Inference. Their collaborative network includes several frequent co-authors such as Philip Boeken, Tineke Blom, Onno Zoeter, Tom Claassen, and Patrick Forré.
Christiaan A. de Leeuw;Joris M. Mooij;Tom Heskes;Danielle Posthuma
Patrik O. Hoyer;Dominik Janzing;Joris M. Mooij;Jonas Peters
Jonas Peters;Joris M. Mooij;Dominik Janzing;Bernhard Schölkopf
Christos Louizos;Uri Shalit;Joris M. Mooij;David A. Sontag
Joris M. Mooij;Jonas Peters;Dominik Janzing;Jakob Zscheischler
Dominik Janzing;Jonas Peters;Eleni Sgouritsa;Kun Zhang
Joris M. Mooij
Dominik Janzing;Joris Mooij;Kun Zhang;Jan Lemeire
J.M. Mooij;H.J. Kappen
Bernhard Schoelkopf;Dominik Janzing;Jonas Peters;Eleni Sgouritsa
Povilas Daniušis;Dominik Janzing;Joris Mooij;Jakob Zscheischler
Nicolai Meinshausen;Alain Hauser;Joris M. Mooij;Jonas Peters
Joris Mooij;Dominik Janzing;Jonas Peters;Bernhard Schölkopf
Oliver Stegle;Dominik Janzing;Kun Zhang;Joris M. Mooij
Jonas Peters;Joris M. Mooij;Dominik Janzing;Bernhard Schölkopf
G Camps-Valls;J Mooij;B Scholkopf
Oliver Stegle;Christoph Lippert;Joris M. Mooij;Neil D. Lawrence
Tom Claassen;Joris M. Mooij;Tom Heskes
Joris M. Mooij;Dominik Janzing;Tom Heskes;Bernhard Schölkopf
Joris M. Mooij;Dominik Janzing;Bernhard Schölkopf
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics opens doors to various interdisciplinary career paths, including data science, finance, and technology. Many students consider enhancing their credentials with advanced degrees that complement their math background.
For those interested in leadership and management roles, pursuing an MBA can be a strategic choice. Several programs offer flexibility, and the option to can you transfer MBA credits is crucial for students looking to save time and money. This enables learners to build upon previous coursework seamlessly.
Data-driven fields are booming, making a data analytics master's degree a valuable pursuit for math graduates. These programs emphasize practical skills and analytical techniques essential for interpreting complex datasets.
Some students prioritize ease of admission and quick completion when choosing further education. Exploring options described in the easiest MBA to get into and easiest and fastest online MBA programs articles can help identify schools that match these criteria without compromising quality.
The Ohio State University
Chinese Academy of Sciences
Shanghai Jiao Tong University
Universitat Politècnica de Catalunya
Technology Innovation Institute
Imperial College London
University of Pittsburgh
University of Wisconsin–Madison
University of Antwerp
Osaka University
Microsoft (United States)
MIT
Rutgers, The State University of New Jersey
University of Queensland
University of Antwerp
University of Manchester