安德烈斯R. Vindas特

注意: Professor Vindas特 will start in the fall of the 2024-2025 academic year.

安德烈斯R. 温达斯·梅尔杰兹博士, is a Costa Rican-American mathematician, raised in Lynwood, South East Los Ángeles, California. Vindas特 is a first-generation college graduate and is currently an Assistant Professor of 数学 at Harvey Mudd College. Previously, he was a National Science Foundation Postdoctoral Fellow & Lecturer at UC Berkeley and a Postdoctoral Scholar at the Mathematical Sciences 研究 Institute [MSRI] (now the Simons Laufer Mathematical Sciences Institute [SLMath]). He has also been a research member for the SLMath Fall 2023 program on Algorithms, Fairness, & Equity and a research scholar at the Institute for Computational and Experimental 研究 数学 [ICERM] for the program on Data Science & Social Justice: Networks, Policy, & Education during the Summers of 2022 and 2023.

Vindas特 completed his PhD at the University of Kentucky where he also earned a graduate certificate in Latin American, 加勒比, 和拉丁研究. 在那之前, he earned his master’s degree in mathematics from San Francisco State University and undergraduate mathematics degree from UC Berkeley where he also minored in Philosophy and Chicanx & Latinx研究.

His research interests are in algebraic, enumerative, and geometric combinatorics. His scholarly interests have also expanded to include mathematical & computational approaches and applications of data science and mathematics for social justice.

Vindas特 strives to create community in order to build mathematics users’ confidence in spite of society’s negative messages and stigma about mathematics. He also aims to build meaningful and empowering experiences with mathematics, while also challenging others to think about the power structures that are present in and outside mathematical spaces.

数学兴趣:

  • Triangulations, subdivisions, and volume of lattice and rational polytopes and cones.
  • Ehrhart theory: (local) h*-polynomials, 准多项式, 等变Ehrhart理论, Ehrhart积极性.
  • Catalan Combinatorics: generating functions, 树, 标准杨氏表, 整数分区, q-analogs, 戴克路径, generalizations of parking functions, 斯瓦米数字.
  • Combinatorics of Posets: lattices, 链, 为了理想, 秩生成函数, meet-irreducibles.
  • Geometric combinatorics: matroids, hyperplane arrangements, symmetry.
  • Polynomial properties: real-rootedness, gamma-positivity, symmetric decompositions.
  • Symmetric functions: chromatic symmetric functions, q- and q,t-analogs. 
  • Critical group of graphs and chip-firing.
  • Data science and mathematics for social justice: data analysis, interdisciplinary study (e.g., social science, history, economics), and racial/social issues.

进一步的资源