Leonardo Da Silva Sousa
Assistant Professor at Carnegie Mellon University Silicon Valley
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolLeonardo Da Silva Sousa is an Assistant Teaching Professor in Electrical and Computer Engineering at Carnegie Mellon University Silicon Valley with nine years of professional experience and a Ph.D. in Computer Science from PUC-Rio. His research focuses on empirical software engineering—especially code smells, design problems, refactoring, architecture, and testing—where he blends quantitative methods with qualitative grounded-theory analyses. He has published repeatedly at top venues (ICSE, FSE), including a SIGSOFT Distinguished Paper Award as lead author, and co-advises master’s and Ph.D. students. Beyond academia, he has contributed to applied public-health software like the VazaZika platform, demonstrating an ability to translate research into real-world, societally impactful systems.
9 years of coding experience
MSc, Computer Science, Capes 3, MSc, Computer Science, Capes 3 at Universidade Federal de GoiásPhd, Computer Software Engineering, Capes 7, Phd, Computer Software Engineering, Capes 7 at Pontifical Catholic University of Rio de JaneiroBacharel em Ciência da computação, Computer Science, Bacharel em Ciência da computação, Computer Science at Universidade Federal de Mato Grosso
English
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (1)
Github contributions (5)
ssousaleo/ssousaleo.github.io
Oct 2016 - Feb 2020
Contributions:27 pushes, 1 branch in 3 years 4 months
cmusv-dsse/GeneticAlgorithm
Oct 2022 - Feb 2025
Contributions:5 pushes in 2 years 4 months
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