class Alex(Parents):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.professional_status = {
"role" : "Data Scientist",
"company" : "Creyon",
}
self.degree_status = {
"level" : "MSE",
"degree": "Biomedical Engineering"
"concentration" : "Biomedical Data Science",
"institution" : "Johns Hopkins University",
}
self.personal_status = {
"girlfriend": "Aina",
"mood": "Curious",
}
self.languages = ["python", "R", "rust", "bash"]
self.favorite_packages = ["pytorch", "numpy", "scipy", "pandas", "scikit-learn", "matplotlib", "seaborn"]
self.tools = ["docker", "git", "linux", "aws", "photoshop", "jupyter"]
def work(self, *tasks):
while self.focus(*tasks):
self.enjoy()
Biomedical Engineering MSE, Johns Hopkins University
---
Born and raised in Seattle, WA, living in San Diego, CA
-
Creyon Bio
- San Diego
- https://www.alex-loftus.com
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-
transformer-from-scratch
transformer-from-scratch PublicIn which I build different simple NLP models from scratch.
Python
-
neurodata/graphutils
neurodata/graphutils PublicAlex's utilities for working with ndmg outputs.
-
mri-code-challenge
mri-code-challenge PublicWeek-long data analysis challenge for MRI data
Jupyter Notebook 1
-
graspologic-org/graspologic
graspologic-org/graspologic PublicPython package for graph statistics
-
neurodata/m2g
neurodata/m2g PublicNeuroData's MRI to Graphs (m2g) - connectome estimation package and pipeline
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