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Hi there 👋

I am Lawrence, a PhD student in Physics at Stanford University. I research high energy astrophysics, astrostatistics and applications of machine learning as a NASA FINESST fellow and Stanford data science scholar. I am interested in open and reproducible science.

Python C++ C Google Cloud Git

Lawrence Peirson's Projects

bootcamp icon bootcamp

Annual computing Boot Camp for new (and other) KIPAC members

cs375 icon cs375

Course Repository for CS 375 (Large Scale Neural Network Modules for Neuroscience)

cv icon cv

Curriculum Vitae

dank-learning icon dank-learning

Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network

dec-keras icon dec-keras

Keras implementation for Deep Embedding Clustering (DEC)

emcee icon emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

ixpeml icon ixpeml

Ensemble of CNNs to predict electron GPD track angles, absorption points and energies for IXPE; see https://arxiv.org/abs/2007.03828

ixpeobssim icon ixpeobssim

Simulation and analysis framework for the Imaging X-ray Polarimetry Explorer

probai-2022 icon probai-2022

Materials of the Nordic Probabilistic AI School 2022.

sav-fit icon sav-fit

Fitting Blazar SAVs using nested sampling combined with rapid OSQP constrained least squares

seating icon seating

Multi-period seating plan optimization.

sscpol icon sscpol

Synchrotron and synchrotron-self Compton polarization for relativistic jets.

thesis icon thesis

Relativistic Jets in the Era of X-ray Polarimetry

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