Kyle Arechiga

MSc capstone student

Kyle developed an unsupervised learning framework to detect a stable arrangement of cities across the globe based on environmental and anthropogenic features. He is widely interested in data analyses, has strong programming skills, and collaborative skills. Kyle joined the lab to conduct directed research during one semester. During the same time, Kyle was an MS in Data Science at the University of Arizona and worked at Raytheon in Tucson.

In the lab

2022

After the lab

Position at Rincon Research Corporation