Hi! You can call me Alex.

I am an incoming first year PhD student in the Human Computer Interaction Institute (HCII) at Carnegie Mellon University.

My research focus is broadly human-centered AI, specifically in applying techniques from HCI and visualization to help people better understand and develop machine learning models. I am supported by a NSF Graduate Research Fellowship.

Before CMU, I graduated with a B.S. in Computer Science from Georgia Tech, where I was a member of the Polo Club of Data Science and worked with Polo Chau and Jamie Morgenstern. I also spent a few summers as a software engineering intern at Google working on Google Maps, Cloud Dataflow, and Android Auto.


May 6, 2019

Our work on discovering intersectional bias was accepted to the Debugging Machine Learning Models workshop at ICLR'19 in New Orleans.

April 22, 2019

Co-awarded the Love Family Foundation Scholarship!

April 10, 2019

Named a NSF Graduate Research Fellow!

April 3, 2019

I will be attending CMU starting Fall 2019 to pursue a PhD in Human-Computer Interaction.

Selected Publications

Under Review

FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning

Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng (Polo) Chau
Workshop, ICLR'19

Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation

Ángel Alexander Cabrera, Minsuk Kahng, Fred Hohman, Jamie Morgenstern, Duen Horng (Polo) Chau
Demo, CVPR'18

Interactive Classification for Deep Learning Interpretation

Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng (Polo) Chau