Hi, I am Patrick Bardsley, applied mathematician, statistician, and machine learning dev by day, climbing bum by night.
- I am interested in ...
- being outside more than being inside
- climbing and skiing
- mathematics and physics in their full, broad, and general glory
- quantum mechanics
- wave phenomena
- abstract gradient flow formulations
- Star Wars (in order: 5, 4, 6 #EmpireDidNothingWrong)
- I am currently learning ...
- electrochemistry and mathematical modelling of lithium ion batteries
while True:
[self.learn(val) for val in ['python', 'cool_python_packages']]
- I am looking to collaborate on ...
- anything with a mathematical physics aspect to it
- anything with a statistical spin to it
- machine learning projects (mostly signal processing)
- anything pythonic
email: bardsleypt@gmail.com
resume: resume.pdf
Within this repository, I have included a fully functional codebase which can be used to train and test a neural-network-based shape-classifier. Essentially, the classifier infers the order of a polynomial with one of two architectures:
- MLP architecture
- Custom-kernel convolutional architecture
While this codebase and its classifier is fully functional, no efforts have been made for tuning (hyper)parameters. Rather the code is in place purely for demonstrative purposes and to collect some routines I regularly use.
A top-level jupyter-notebook is available to demonstrate the calling behavior of this codebase. By default, the notebook will execute:
- synthetic data generation
- a small 20-epoch training iteration
- model calibration
- model testing/validation
- PhD Applied Mathematics (2016), University of Utah, Department of Mathematics
- Thesis title: Intensity-only imaging with waves, restarted inverse Born series, and analysis of coarsening in polycrystalline materials
- Master of Science Mathematical Statistics (2016), University of Utah, Department of Mathematics
- Bachelor of Science Mathematics (2010), University of Utah, Department of Mathematics
- Cirrus Logic, Inc. (2017 - Present)
- Senior machine learning engineer
- University of Texas at Austin, ICES (2016-2017)
- Postdoctoral fellow
- University of Utah, Department of Mathematics (2010-2016)
- Graduate research and teaching assistant