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jfdev001/README.md

Jared Frazier

Currently in MSc. of Computational Science program at the University of Amsterdam.

Learning as Part of MSc. Thesis (November 2023 - August 2024):

  • Distributed Computing (e.g., using MPI)
  • Mathematical Modelling (ODE/PDE Systems)
  • Finite Element Methods
  • Domain Decomposition Methods (e.g., BDDC) for Numerical Solution of PDEs

Experience (Data Analysis and Research):

  • Automating Computer-aided Diagnosis Using Deep Learning
  • Time-series Forecasting with Machine Learning
  • Automatic Drug Design with Deep Learning

Languages:

Language Proficiency
Python Proficient
Julia Proficient
C Proficient
C++ Proficient
Mathematica Somewhat Proficient
R Somewhat Proficient
MATLAB Limited Proficiency

Pinned

  1. algebraic-multigrid algebraic-multigrid Public

    Cross platform algebraic multigrid implementation using C++, Eigen3, and Catch2.

    C++

  2. parallel-nbody parallel-nbody Public

    C MPI + OpenMP implementation of n-body simulation.

    C

  3. PlasmaCellDiff PlasmaCellDiff Public

    Julia implementation of "Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis" by Martinez2012 (https://doi.org/10.1073/pnas.1113019109)

    Julia

  4. biotic-pump-complex-network biotic-pump-complex-network Public

    Julia implementation of "Networks of forest ecosystems: Mathematical modeling of their biotic pump mechanism and resilience to certain patch deforestation"

    Julia

  5. mlp-from-scratch mlp-from-scratch Public

    Implementation and extensive report on the multilayer perceptron to elucidate fundamental concepts in deep learning.

    Python

  6. mars-ml-mtsu-honors-thesis mars-ml-mtsu-honors-thesis Public

    Honors undergraduate thesis end-to-end machine learning project for weather prediction on Mars.

    Python