Daniel Levy

Applied Math PhD Candidate at Princeton University

Princeton, New Jersey, United States

About

I am a second-year Applied Mathematics PhD candidate at Princeton University researching Complex Adaptive Systems across Biology and the Social Sciences.

Experience

  • Doctoral Student at Princeton University
    Aug 2024 - Present · 2 yrs 4 mos

  • Strauss Teaching Assistant at University of Maryland
    Aug 2022 - May 2024 · 1 yr 10 mos

    I was awarded a Strauss Teaching Assistantship (TA) for two years, in which a handful of undergraduates at the University of Maryland are selected annually through a competitive application process to serve as teaching assistants for Calculus I and II. I led discussion sections twice per week, held office hours, and graded exams and worksheets.

  • Researcher at Leiden University
    Jun 2023 - Aug 2023 · 3 mos

    Internship in mathematical biology/numerical PDEs (NSF-funded REU program hosted by UC Irvine and Leiden University). I studied front dynamics in tumor growth. I was responsible for the numerical components of the project.

  • Summer Intern at UCLA
    Jun 2022 - Aug 2022 · 3 mos

    Joint internship in quantum computing at UCLA and IBM Quantum through the Research in Industrial Projects for Students (RIPS) program. My team wrote a transpiler for IBM Quantum systems. The algorithm offers advantages over the previous state-of-the-art transpiler.

  • University of Maryland (7 mos)
    • Research Intern
      Jun 2021 - Dec 2021 · 7 mos

    • Jun 2021 - Dec 2021 · 7 mos
      Internship in representation theory at the Department of Mathematics, University of Maryland. I studied the injectivity of permutation invariant representations and worked toward lower-bounding the size of universal key matrices, objects relevant in graph classification. I worked to develop and implement an algorithm for universal key tests for matrices.

    • Research Intern
      Jun 2021 - Sep 2021 · 4 mos

      Internship in physical oceanography at the Department of Atmospheric and Oceanic Science, University of Maryland. I studied ocean dynamics at the submesoscale. I used a coarse-graining approach to make progress in resolving the long-standing inconsistency between large eddy simulation and turbulence.