New York University
2025 – present
PhD, Mathematics — Courant Institute
Nicholas Geissler
PhD Student
Courant Institute of Mathematical Sciences
New York University
CVAbout
I am a first-year PhD student in Mathematics at the Courant Institute, NYU. My research interests lie broadly in applied and computational mathematics. I am particularly interested in numerical linear algebra.
Education
Johns Hopkins University
2021 – 2025
BS & MS, Applied Mathematics and Statistics; BS, Computer Science
GPA 4.0 · Naddor Prize recipient
Research
- I am currently working with Dr. Benjamin Peherstorfer on machine learning based surrogate models, with a focus on one-step generative models and Neural Galerkin schemes.
- As an undergraduate and master's student at Hopkins, I worked with Dr. Sergey Kushnarev and Dr. Christian Kümmerle on structured low rank approximation and its applications to time series denoising, with a focus on gravitational wave signals relevant to the Laser Interferometer Space Antenna (LISA).
Experience
TransMarket Group
Summer 2024
Quantitative Trader Intern · US Treasury Basis desk
Market-made US Treasury bonds and bond futures; developed and backtested
an automated market-making algorithm in Python.
Merck & Co.
2023 – 2024
Clinical Information Specialist (Data Science)
Developed statistical methods for Phase 1 oncology clinical trial data
in R and MATLAB.