معرفی
Fan Wei is an Assistant Professor of Mathematics and Computer Science at Duke University, affiliated with the Trinity College of Arts & Sciences. She holds a PhD in Mathematics from Stanford University (2019), a Master of Advanced Study from Cambridge University (UK), and a Bachelor's degree from MIT. Her research focuses on extremal and probabilistic combinatorics, with applications to computer science, particularly in analyzing large networks using tools from probability, analysis, and algebra.
Education:
- PhD in Mathematics, Stanford University, 2019
- Master of Advanced Study, Mathematics, University of Cambridge, UK
- Bachelor's degree in Mathematics, MIT
Research Interests: Extremal combinatorics, probabilistic combinatorics, graph theory, theoretical computer science, and applications to network analysis. Recent work includes studies on undecidability in graph homomorphism densities, independent transversals, and irregularity strength conjectures.
Publications: Her work spans over 30 peer-reviewed articles, focusing on graph theory, combinatorial optimization, and algorithmic applications. Notable topics include undecidability in combinatorial problems, spectral graph theory, and phase transitions in graph properties.
- Awards & Funding:
- NSF Award DMS-2401414 (2023–2028)
- NSF Award DMS-1953958 (2020–2023)
- Simons Foundation Algorithms & Geometry Unit Fellowship (2020)
Teaching & Mentoring: Teaches combinatorics courses at Duke, leads a research group, and mentors students in REU programs. Previously taught discrete mathematics and calculus.
Labs/Teams: Active in Duke's combinatorics research community, collaborates internationally on projects such as the Barbados Graph Theory Workshop. Hosts a minicourse on regularity methods in combinatorics.
