Thomas
Schweizer

My mission is to empower people and improve their lives with software. Technology should adapt to people 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 tradeoffs through the evolution of a software.
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.

Other topics of interest include: AI (Software Biomimicry, Emergent Behaviors, Neural Networks, etc...), Software Engineering, Data Science, and UI/UX design.