Jan de Leeuw is affiliated with the University of California, Los Angeles in the United States. Their research predominantly engages with the domain of Agricultural and Biological Sciences, with focused contributions in subfields such as Food Science, Artificial Intelligence, Analytical Chemistry, Plant Science, and Earth-Surface Processes.
Their work spans several main topics, including Sensory Analysis and Statistical Methods, Spectroscopy and Chemometric Analyses, Leaf Properties and Growth Measurement, Data Analysis with R, Geological formations and processes, Geology and Paleoclimatology Research, as well as Hydrocarbon exploration and reservoir analysis.
Jan de Leeuw has authored and contributed to multiple scholarly articles. Recent papers include:
The scholar frequently publishes on platforms such as arXiv (Cornell University), with four contributions, as well as in journals like the Journal of Statistical Software, The American Statistician, Geological Magazine, and Annals of the Rheumatic Diseases.
Collaborative efforts feature prominently in their academic profile. Frequent coauthors include Jan Graffelman, with whom they have collaborated on multiple publications. Other notable coauthors are Patrick Mair, Patrick J. F. Groenen, Florian Pohl, and JT Eggenhuisen.
Ita Kreft;Jan de Leeuw
Yoshio Takane;Forrest W. Young;Jan de Leeuw
Unknown
Ita G.G. Kreft;Jan de Leeuw;Leona S. Aiken
Yoshio Takane;Jan de Leeuw
Pieter M. Kroonenberg;Jan de Leeuw
Jan de Leeuw;Patrick Mair
Jan De Leeuw
Jan De Leeuw;Ita Kreft
Jan de Leeuw;Erik Meijer;Harvey Goldstein
George Michailidis;Jan de Leeuw
Jan de Leeuw;Forrest W. Young;Yoshio Takane
Jan de Leeuw;Kurt Hornik;Patrick Mair
Forrest W. Young;Jan de Leeuw;Yoshio Takane
Jan de Leeuw
Forrest W. Young;Yoshio Takane;Jan de Leeuw
Jan de Leeuw
Jan de Leeuw;Willem J. Heiser
Jan de Leeuw
Jan de Leeuw
Jan De Leeuw
Jan de Leeuw;Louis Narens
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics in the USA opens doors to various online degree options that complement a math foundation and lead to diverse career pathways. For those interested in blending quantitative skills with business acumen, exploring mba transfer credits programs can ease the transition by allowing you to carry forward your previous academic work efficiently.
Additionally, data continues to drive industries worldwide, making data analysis programs a natural extension for math graduates aiming to enter analytics, finance, or tech sectors. These programs emphasize practical data interpretation and decision-making, equipping students with highly marketable skills.
For professionals seeking flexibility and accessibility, understanding the criteria to enter an easiest mba program to get into can provide a practical route to management roles without the intense competition often seen in prestigious schools. Online options also abound, with some of the easiest online mba programs to get into designed to accommodate busy schedules and diverse student backgrounds.
Overall, combining a mathematics degree with relevant online programs can boost career potential in fields like business, technology, and data-driven decision-making.
Complutense University of Madrid
University of Copenhagen
University of New South Wales
Konan University
New York University
York University
University of Victoria
Southern University of Science and Technology
Cincinnati Children's Hospital Medical Center
University of Washington
University of Illinois at Chicago
University of Manchester
Kyoto University
University of Notre Dame
University of Groningen
École Centrale de Nantes
