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Hello there, I'm currently working as a Postdoctoral Researcher at Stanford University focusing on Digital Health and AI in Healthcare. I have been doing data science and machine learning stuff for more than 7 years now, pretty much starting before it was sexy :)

I've published over 30 articles and a patent in the fields of digital health, health informatics and artificial intelligence. Here on my GitHub you may find some projects related to my research but also some unrelated personal stuff. If our industry partners allow, I will try to release more of my research related projects here.

In terms of programming (scripting) I'm very proficient with Python and its whole data ecosystem (NumPy, SciPy, Pandas, PyTorch). In addition, I've been using R for years, although mostly for specialised statistical models, such as generalized mixed effects models or the likes.

In terms of software engineering I'm mainly proficient with Java, having worked with Spring Boot, Hibernate and Android SDK, amongst others. Further I do have some familiarity with C#, C, Javascript/HTML/CSS, Swift and multiple databases (MySQL, OmniSci, PostgreSQL, MongoDB).

Most importantly, I like cats (yes yes, dogs can be cute too)!

Narayan Schütz, PhD's Projects

animate.css icon animate.css

🍿 A cross-browser library of CSS animations. As easy to use as an easy thing.

ax3_accelerometer_pipeline icon ax3_accelerometer_pipeline

Provides functionality to build flexible feature extraction pipelines based on raw Axivity AX3 3-axis accelerometer signals.

date-parser icon date-parser

Little Parser written in python, able to parse csv files with timestamps and numeric values. Specifically written to parse sensor data

deepdiva icon deepdiva

Python Framework for Reproducible Deep Learning Experiments

digital-exhaust icon digital-exhaust

A zero-interaction set of sensor derived digital measures of health aimed towards use in older adults.

edf2parquet icon edf2parquet

Simple utility package to convert EDF/EDF+ files into Apache Parquet format.

fma icon fma

FMA: A Dataset For Music Analysis

gco_python icon gco_python

Python wrappers for GCO alpha-expansion and alpha-beta-swaps

pandas_normalization icon pandas_normalization

Monkey patches pandas to directly allow data normalization by means of min-max scaling and zero-mean unit-variance standardization unit variance

pyhrv icon pyhrv

Python toolbox for Heart Rate Variability

slurmmultinodepool icon slurmmultinodepool

Very lightweight wrapper to execute distributed python code on SLURM HPC clusters in a fashion similar to using Python's multiprocessing.Pool

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