Amir Barghi Assistant Professor of Mathematics and Statistics

Array

Programs

Bio

Ph.D. Dartmouth College
M.A. Dartmouth College
M.S. Rochester Institute of Technology
B.S. University of Tehran

Areas of Expertise and Interest:
Algebraic and probabilistic graph theory; statistics and data science; enumerative combinatorics; stochastic processes.

Courses I Teach:

  • Elementary Statistics
  • Probability
  • Introduction to Data Science
  • Discrete Mathematics
  • Applied Graph Theory

Interview

“My first close encounter with liberal arts education, the very style of education I was yearning for as an undergraduate, was during my graduate studies at Dartmouth College, first as a teaching assistant and then as a graduate instructor. What has drawn me to a liberal arts setting is a diverse curriculum where students not only explore a variety of areas in their major fields of study, but also are provided with an ample opportunity to broaden their horizons and learn about other areas of human knowledge and intellectual pursuit. This creates a space where students make powerful connections across disciplines and see the world around them from a multi-faceted perspective. Ever since my first encounter, I knew I wanted to pursue an academic career at a liberal arts college, and now that I have joined Saint Michael’s College, I look forward to future conversations with students and colleagues, discussing topics from a broad range of intellectual pursuits—one of the things that I cherish the most about being at a liberal arts college.”

Recent News

Amir Barghi joined Saint Michael’s College at the start of last year’s (2018) spring semester as tenure-track faculty in mathematics. This summer he also helped organize the annual international ‘Summer Combo in Vermont’ conference on July 14, when the College welcomed more than 50 mathematicians to campus.
(Posted January 2019)

Amir Barghi of the Saint Michael’s Department of Mathematics and Statistics faculty has a new research paper published in the Australasian Journal of Combinatorics entitled “Stirling numbers of the first kind for graphs.” Stirling numbers of the second kind for graphs have been studied in recent years, but a closer look at Stirling numbers of the first kind for graphs was missing from the literature. In this paper, Stirling numbers of the first kind for graphs are introduced, and the Stirling numbers of the first kind of elements of some families of graphs are computed, either by providing a combinatorial argument or using generating functions.
(Posted June 2018)