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Unstable-Blowup-NLS
May 2, 2024 – October 7, 2024
Code for the paper "Mechanisms of unstable blowup in a quadratic nonlinear Schroedinger equation"
View ProjectSwift-Hohenberg-stability2
July 21, 2023 – July 21, 2023
Swift-Hohenberg-stability2 — GitHub repository
View ProjectSwift-Hohenberg-stability
October 12, 2022 – April 17, 2025
This repository contains the code accompanying [PAPER].
View ProjectQuasiperiodicity-and-blowup-in-integrable-subsystems-of-nonconservative-NLS
July 28, 2021 – July 28, 2021
This repository contains the MATLAB codes associated with the paper: "Quasiperiodicity and blowup in integrable subsystems of nonconservative nonlinear Schroedinger equations".
View ProjectValidated-Numerical-Approximation-of-Stable-Manifolds-for-Parabolic-PDEs
March 28, 2020 – April 29, 2020
Validated Numerical Approximation of Stable Manifolds for Parabolic Partial Differential Equations
View ProjectComputing-Conjugate-Points
December 23, 2018 – March 31, 2021
C++ code which calculates a standing front in a gradient reaction-diffusion PDE (a connecting orbit in a Hamiltonian ODE) and then computes its stability by counting the number of conjugate points.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic research, specifically in applied mathematics and physics (PDEs, nonlinear dynamics). While this demonstrates deep analytical skills, there is a lack of diversity in project types (e.g., no data science specific projects, no team projects, no industry applications). This might indicate a need for adaptation to a more collaborative, product-oriented data science environment. The target role 'Data Scientist' requires a broader set of skills beyond pure mathematical modeling, such as machine learning, statistical inference, data engineering, and business acumen, which are not evident in the provided project list.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily academic/research-focused, indicating a potential for independent work and problem-solving in complex mathematical domains.