David Palacio

Senior Applied Scientist at Microsoft

Seattle, Washington, United States
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Summary

👤
Senior
🎓
Top School
David 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.
code11 years of coding experience
job11 years of employment as a software developer
bookMaster of Science (MSc) Computer Engineering Computer Engineering, Master of Science (MSc) Computer Engineering Computer Engineering at Universidad Nacional de Colombia
bookSpecialised 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 Computing (C-DAC)
bookMaster of Science (M.Sc.) Informatics Computer Engineering, Master of Science (M.Sc.) Informatics Computer Engineering at Technical University of Munich
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at William & Mary
languagesSpanish, English, German
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Stackoverflow

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1reputation
992reached
1answer
1question
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Github Skills (14)

benchmarking10
causal-inference10
convolutional-neural-networks8
ontology8
data-science8
cve7
unsupervised-learning7
sentence-embeddings6
asp-net6
vulnerabilities6
dll6
database5
security5
deep-learning4

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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danaderp/unalcol

Jan 2015 - Aug 2015

Contributions:14 commits, 11 pushes, 1 branch in 6 months
danaderp/danaderp

Feb 2021 - Dec 2024

Contributions:296 pushes, 4 branches in 3 years 10 months
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