Thomas
Schweizer

My mission is to empower people and improve their lives by building software. I believe technology should adapt to their users and not the otherway around.
I'm particularly interested in the interaction between Software Engineering and Machine Learning systems, from the design to their deployment and how they impact society.

I'm a graduate student completing my Master's degree at the University of Montreal. My research advisor is Michalis Famelis. We are researching approaches to automatically identify design related changes through the evolution of software metrics in projects. I've also been working since 2014 with the Digger Foundation, a humanitarian company, where I design, develop, and deploy software systems to detect and eliminate landmines.

My other topics of interest AI (e.g., Software Biomimicry, Emergent Behaviors, Neural Networks), Software Engineering, Data Science, and UI/UX design.