Jennifer Johnson-Leung

Professor of Mathematics

University of Idaho

Jennifer Johnson-Leung

Research

My research centers on automorphic forms and the arithmetic of L-functions, with ongoing work in paramodular theory and representations of GSp(4). I am particularly interested in structural questions in representation theory and their arithmetic manifestations, especially in settings where explicit computation plays a role. I also collaborate on modeling projects in cybersecurity and public health, and am developing mathematically grounded approaches to trustworthy and interpretable AI systems, including tools designed to better support mathematical research and reasoning.

Number Theory

Interdisciplinary Collaborations

Other Work

Funding

Earlier grants
  • Co-Director: Supplement for COVID-19 Modeling (2020–2021)
    NIH COBRE Supplement Project, CMCI — $492,598
  • PI: “Gear Up!” (2017)
    Micron Foundation Gift — $5,000
  • Co-PI: Making Mathematical Reasoning Explicit (2011–2016)
    NSF Award #1050397 — $4,996,102
  • PI: Special Values of L-functions and Motivic Elements for Abelian Surfaces with Complex Multiplication (2010–2012)
    NSA Young Investigator’s Grant — $30,000
  • PI: Special Values of L-functions of CM Fields (2008–2009)
    University of Idaho Seed Grant — $9,000

Mentoring

I supervise doctoral students in automorphic forms, paramodular theory, and arithmetic aspects of representation theory. I am also interested in projects that connect rigorous mathematics with computation and trustworthy AI systems. Prospective students are welcome to contact me by email; availability varies by year.

PhD Students

Undergraduate Research

I have mentored over a dozen undergraduate students in research and independent study. The students listed below received Undergraduate Research Fellowships.

Bio

I am a number theorist whose research centers on automorphic forms, paramodular theory, and the arithmetic of L-functions, with a particular focus on representations of GSp(4). My work combines structural questions in representation theory with arithmetic and computational perspectives.

I received my PhD in number theory from Caltech in 2005 under the direction of Matthias Flach. As an undergraduate at The College of William and Mary, I studied chemistry and mathematics and was awarded the Thomas Jefferson Prize in Natural Philosophy.

After two years as a lecturer at Brandeis University, I joined the Department of Mathematics and Statistical Science at the University of Idaho in 2007, where I am currently Professor of Mathematics.

In addition to my work in arithmetic and automorphic forms, I collaborate on projects in cybersecurity and public health modeling. I was an AI Fellow with the University of Idaho's Institute for Interdisciplinary Data Sciences and am developing mathematically grounded approaches to trustworthy and interpretable AI systems, with particular interest in how such systems can better support mathematical discovery and verification.