pearlphilip
I'm a computational associate at GSK working on optimizing the efficiency and automating the analysis of HTS. Check out my work at @BeckResearchLab as well.
GlaxoSmithKlineCollegeville, PA
Pinned Repositories
bacteriopop
population dynamics for abundances calculated from meta-omics sequencing
biodegradable_chemicals
Learning models on a data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and non-ready biodegradable)
Neural_Net_Newbies
Neural Net Starter Examples
pearlphilip.github.io
Source code files for my website
pulse2percept
Models for retinal prosthetics
pychem_python3_patchset
Set of patches to make PyChem 1.0 Python 3 compatible
scikit-feature
oepn-source feature selection repository in python (DMML Lab@ASU)
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
stats_exercise
syn_bio_hw
Homework files for Synthetic Biology course CHEM E 599 A/ CHEM E 498 B
pearlphilip's Repositories
pearlphilip/biodegradable_chemicals
Learning models on a data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and non-ready biodegradable)
pearlphilip/syn_bio_hw
Homework files for Synthetic Biology course CHEM E 599 A/ CHEM E 498 B
pearlphilip/bacteriopop
population dynamics for abundances calculated from meta-omics sequencing
pearlphilip/Neural_Net_Newbies
Neural Net Starter Examples
pearlphilip/pearlphilip.github.io
Source code files for my website
pearlphilip/pulse2percept
Models for retinal prosthetics
pearlphilip/pychem_python3_patchset
Set of patches to make PyChem 1.0 Python 3 compatible
pearlphilip/scikit-feature
oepn-source feature selection repository in python (DMML Lab@ASU)
pearlphilip/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
pearlphilip/stats_exercise
pearlphilip/tomviz
Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data
pearlphilip/UW_SoftwareEngineeringForDataScientists
Files from my learning sessions in CSE 599 B1