Curriculum Vitae

Education, research, and the tools I rely on. Download the CV (PDF).

Education

PhD, Computational Science (Mathematics) — University of Southern Mississippi
Aug 2025 – present (expected Dec 2030)

M.S., Mathematics — University of Southern Mississippi
Aug 2023 – Aug 2025. Thesis: Scalable High-Resolution Simulation of the Prey-Predator Model, with a Non-local Consumption of Prey.

B.S., Mathematics with Economics — University of Cape Coast, Ghana
Aug 2018 – Nov 2022

Research interests

  • Mathematical biology and mathematical neuroscience (dopamine transport)
  • Mathematical modelling of glioblastoma (GBM)
  • Physics-informed neural networks for partial differential equations
  • Inverse problems, parameter identifiability and uncertainty quantification
  • Scientific computing and numerical analysis
  • Medical imaging (planned)

Honors & awards

  • Third Place Poster Award, 11th SIAM Central States Section Annual Meeting, Jackson State University, Jackson, MS — Oct 2026
  • NSF Travel Award (administered by the SIAM Central States Section) — Oct 2026

Publications & presentations

Two manuscripts under review, an MS thesis, and two conference posters — see Publications for the full list with links.

Skills

Languages. Python (advanced), JAX, PyTorch, C/C++, MATLAB, LaTeX. Numerical methods. Finite differences, finite volumes, projection methods, spectral methods, Runge–Kutta integrators, automatic differentiation. Machine learning. PINNs, Fourier-feature networks, neural ODEs, residual adaptive sampling, NTK-balanced loss weighting. Tooling. Flax NNX, Optax, NumPy/SciPy, Equinox, Hydra, Weights & Biases, Docker, Git, GitHub Actions, conda, DeepXDE, NVIDIA Modulus, FEniCSx, Dedalus. HPC. Single-node and multi-GPU training (jax.pmap, torch.distributed) on NVIDIA A100 / H100; Google Colab GPUs.

Selected projects

Measurement-Aware PINNs for Dopamine Transport (2026) An inverse PINN (JAX, Flax NNX, Optax) estimates the diffusion coefficient and uptake rate of a 2D reaction–diffusion model of dopamine release from sparse electrode recordings, passing the network output through a model of the electrode. It is about as accurate as classical least squares and close to the Cramér–Rao bound. Submitted to Biomedical Signal Processing and Control (Elsevier), October 2026. Code & data

MS Thesis: Non-local Prey-Predator Simulation (2025) A Krylov subspace spectral solver for stiff, non-local prey-predator models, up to 40× faster than standard exponential integrators, with relative errors below 10^{-8} on grids up to N = 8000.

Adaptive Actuarial Exam Prep Platform (2026) Full-stack adaptive learning platform (FastAPI, Next.js/TypeScript, PostgreSQL, Redis) for SOA actuarial exams. Uses Item Response Theory and Bayesian Knowledge Tracing with Fisher-information-based item selection to personalize question difficulty in real time. github.com/Hachero98/actuarialprep

Service & community

To be added.

Teaching

Instructor (Graduate Assistant) — University of Southern Mississippi

  • Fall 2026 — MAT 101 College Algebra (2 sections)
  • Spring 2026 — MAT 102 Brief Applied Calculus
  • Fall 2025 — MAT 101S College Algebra Supplement
  • Spring 2025 — MAT 103 Plane Trigonometry (2 sections)
  • Fall 2024 — MAT 101 College Algebra (2 sections)
  • Fall 2023 — MAT 101 College Algebra (teaching assistant)

Teaching Assistant — University of Cape Coast, Ghana
Nov 2022 – Aug 2023

Last updated: 2026-10-23.