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Jared Frazier

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

Recently Acquired Skills 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

Work 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

Jared Frazier's Projects

2022-tgis icon 2022-tgis

Python Doesn't Byte: Crash Course in Python for 2022 Tennessee Girls in STEM Workshop.

2048.c icon 2048.c

Console version of the game "2048" for GNU/Linux

amfeti icon amfeti

Parallel Python FETI-code dedicated to structural mechanics problems

biotic-pump-complex-network icon biotic-pump-complex-network

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

cardgame-sim icon cardgame-sim

Implement max and min priority queue for simulating drawing of cards from two different decks.

cs_assignment icon cs_assignment

Minimalistic homework for the "Efficient toolbox of the Computational Scientist" lecture.

dolfinx icon dolfinx

Next generation FEniCS problem solving environment

feti.jl icon feti.jl

A Julia finite element tearing and interconnecting (FETI) prototype implementation.

jfdev001.github.io icon jfdev001.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

k-means icon k-means

(Naive) K-Means implementation for continuous N-dimensional data from scratch.

mlp-from-scratch icon mlp-from-scratch

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

nmr-inte-great icon nmr-inte-great

Tkinter GUI that performs trapezoidal sum on Nuclear Magnetic Resonance peak list data (*.asc) to get the area between a given range

pchem-with-mathematica icon pchem-with-mathematica

Exercises in reproducing figures and illustrating concepts from McQuarrie's Quantum Chemistry 2e and McQuarrie's Physical Chemistry: A Molecular Approach (1997)

plasmacelldiff icon plasmacelldiff

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)

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