Hi there!

I’m Alex Gude, a data scientist with a passion for plots and algorithms, but also cycling and photography. I got my start in the valley at Insight Data Science. In my previous life, I was a high energy particle physicist at CERN and a cosmologist at Lawrence Berkeley Labs.

I write about whatever catches my attention here on this site; mostly that means data science, machine learning, deep learning, and software development related topics. My writings on deep learning from my time at Lab41 can be found at Gab41 and rehosted on this page. If you’re interested in my thoughts in real time (as well as sneak peaks at what I’m writing), follow me at @alex_gude on Twitter and Mastodon.

The code that I write lives on my Github page. Check it out! Bug reports and pull requests welcome!

Recent Writings

Below you can find my most recent articles and projects; older ones can be found here:

SWITRS: Pedestrian Safety on Halloween
Halloween can be a dangerous time for pedestrians. In this post, I explore the statistics on pedestrian-vehicle collisions, including when these incidents are most likely to occur.
SWITRS: On What Days Do Drivers Hit Pedestrians?
Being a pedestrian is dangerous in a world built for automobiles. In this post explore how pedestrian-involved collisions have trended in time. Take a look!
Using Scikit-learn Pipelines with Pandas Dataframes
Pandas and scikiet-learn are two important libraries for building machine learning models. Here is how to get them to work together.
Computing Machine Learning Features in Real-time
Models often derive great value from real-time features, but computing them is hard because it has to be done quickly. Here is one way I have done it successfully.
Plotting the 2022 Tour de France
The 2022 Tour de France saw a new winner, Jonas Vingegaard! See how he won in this post!