Huyên Pham is affiliated with École Polytechnique in France and has contributed to various fields including Economics, Econometrics and Finance, Physics and Astronomy, and Computer Science. Their work spans several subfields such as Statistical and Nonlinear Physics, Finance, Artificial Intelligence, Computer Vision and Pattern Recognition, and Ocean Engineering.
The main topics addressed in Huyên Pham's research include:
Recent publications by Pham and frequent collaborators highlight a focus on neural networks, finance, and nonlinear partial differential equations:
Other works related primarily to financial mathematics and applied computational methods have appeared in venues such as SSRN Electronic Journal and arXiv (Cornell University). The frequent publication outlets associated with Pham's work include:
Pham collaborates regularly with several researchers, indicating interdisciplinary and collaborative research efforts. These frequent coauthors include:
Overall, Pham's scholarly output integrates advanced quantitative methods, particularly in model reduction, neural networks, and financial applications involving stochastic processes. The diversity of publication venues and coauthor networks emphasize a wide engagement with both theoretical and applied dimensions of economics, finance, and computational science.
Huyên Pham
Huyên Pham
Christian Gourieroux;Jean Paul Laurent;Huyên Pham
Fabien Guilbaud;Huyen Pham
Jean Paul Laurent;Huyên Pham
Huyên Pham;Xiaoli Wei
Gilles Pagès;Huyên Pham;Jacques Printems
Huyên Pham;Thorsten Rheinländer;Martin Schweizer
Jakša Cvitanić;Huyên Pham;Nizar Touzi
Vathana Ly Vath;Mohamed Mnif;Huyên Pham
Jakša Cvitanić;Huyên Pham;Nizar Touzi
Huyên Pham
Huyên Pham;Xiaoli Wei
Huyên Pham
Huy ^en Pham;Marie-Claire Quenez
Xin Guo;Huyên Pham
Idris Kharroubi;Jin Ma;Huyên Pham;Jianfeng Zhang
Huyên Pham;Nizar Touzi
Griselda Deelstra;Huyên Pham;Nizar Touzi
Idris Kharroubi;Nicolas Langrené;Huyên Pham
Gilles Pagès;Huyên Pham
If you think any of the details on this page are incorrect, let us know.
Studying Mathematics in the USA often leads to diverse career opportunities, especially when paired with complementary fields. For students seeking to enhance their leadership and business skills alongside mathematics, exploring online MBA programs that accept transfer credits can provide a flexible and efficient pathway to earn advanced business qualifications while leveraging prior coursework.
As data-driven decision-making becomes crucial across industries, many math graduates consider specialized programs like analytics masters programs. These degrees equip students with skills in data interpretation and predictive modeling, directly enhancing employability in sectors demanding strong quantitative and analytical abilities.
For those looking to quickly boost credentials without extensive admissions hurdles, identifying the easiest MBA to get into or the easiest MBA program can offer viable options. These pathways allow math professionals to efficiently delve into management roles, balancing quality education with accessibility and flexibility.
Overall, combining a solid mathematics foundation with targeted online degrees opens numerous career pathways, from advanced analytics to business leadership, empowering graduates to thrive in a competitive job market.
Zhejiang University
Technical University of Munich
National Institute for Materials Science
Ghent University
Ruhr University Bochum
University of Alberta
Rovira i Virgili University
Virginia Commonwealth University
Chinese Academy of Sciences
Princeton University
Hokkaido University
French Institute for Research in Computer Science and Automation - INRIA
University of Pittsburgh
Steklov Mathematical Institute
Tel Aviv University
Monash University
