David Palacio
Applied Scientist 2 at Microsoft
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDavid Palacio is an applied scientist and PhD candidate in Computer Science with 11 years of experience blending machine learning, causal inference, and software engineering to automate maintenance tasks like bug fixing, code summarization, and traceability recovery. He has a strong publication record (ICSE, TOSEM, TSE) and industry experience from Microsoft and Cisco, where he developed interpretability methods and debugging tools for large code-focused language models. His work uniquely combines T5-based deep learning, Bayesian probabilistic methods, and information-theoretic analyses to both improve model performance and provide causal explanations for model behavior. A pragmatic engineer as well as a researcher, he has delivered high-impact prototypes and production-minded solutions—ranging from a 96% success security detector to tooling that improved traceability effectiveness. Based in Seattle, he mentors students and reviews top SE conferences, and brings a disciplined, minimalist approach to complex AI-for-code problems.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MSc) Computer Engineering, Computer Engineering, Master of Science (MSc) Computer Engineering, Computer Engineering at Universidad Nacional de ColombiaSpecialised Programme on Design Development and Implementation of eLearning Courses, Computer Engineering, Specialised Programme on Design Development and Implementation of eLearning Courses, Computer Engineering at Centre for Development of Advanced ComputingMaster of Science (M.Sc.) Informatics, Computer Engineering, Master of Science (M.Sc.) Informatics, Computer Engineering at Technische Universität MünchenDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at William & Mary
Spanish, English, German
Stackoverflow
1reputation
992reached
1answer
1question
Github Skills (32)
causal10
ecology10
benchmarking10
traceability10
metadata10
logic-programming10
causal-inference10
issue-tracking10
relational-algebra10
exploratory9
artifacts9
data-management9
science9
unsupervised-learning8
data-analytics8
Programming languages (1)
Github contributions (5)
WM-SEMERU/dl4se
Apr 2020 - Apr 2021
Contributions:87 commits, 30 pushes, 1 issue in 1 year
danaderp/unalcol
Jan 2015 - Aug 2015
Contributions:14 commits, 11 pushes, 1 branch in 6 months
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