Blog

Thoughts on data science, interoperability, and digital health.

Tech Tips #4 — Data-Driven Sections in Jekyll

Instead of hardcoding content in your Jekyll HTML templates, you can use data files to separate content from presentation. This makes updates trivi...

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Tech Tips #3 — Compress Images on macOS Without Extra Tools

Your website’s hero image is 3.2MB. Your page takes 4 seconds to load. You don’t want to install ImageMagick or Photoshop. Here’s a one-liner using...

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Tech Tips #2 — Jekyll + GitHub Pages on Ruby 3.0

Getting Jekyll with the github-pages gem to work on Ruby 3.0+ is surprisingly painful. Here’s the checklist of everything that breaks and how to fi...

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Tech Tips #1 — Fixing bibtex-ruby with Ruby 3.0

If you’re running Jekyll with jekyll-scholar on Ruby 3.0+, you’ve probably hit this error:

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Tech Tips #0

I’m launching a new category dedicated to small tech tips, where I’ll document the challenges and solutions I encounter during my PhD journey, as w...

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Medication Definition on graph networks

Standardized information regarding drugs around the world and Europe is not new. However, several ways of implementing drug information are possibl...

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GANs With Julia: Intro

First introduced in 2014 by Ian Goodfellow, Generative Adversarial Networks (GANs) have been under the scope and have been proven very good for gen...

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Academic Resources

Grad students are often confronted with a great task in order to finish their thesis. From writing our thesis, keeping up with the state-of-the-art...

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Regression Tutorial with Julia lang

Hi, in my last post, I showed how Julia can be used to perform a classification task. In that case, we classified patients into two categories, so ...

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Introduction to Machine Learning with Julia

The Julia language was originally released in 2012 by Alan Edelman, Stefan Karpinski, Jeff Bezanson, and Viral Shah. Its popularity has been increa...

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