Felipe Márquez

Director at Iniciativa de Datos e Inteligencia Artificial

Santiago, Santiago Metropolitan Region, Chile
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Summary

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Senior
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Top School
Felipe Márquez is a Director and Associate Professor who builds AI research capacity and institutional ecosystems, leading the Data and Artificial Intelligence Initiative at the University of Chile while serving as Principal Researcher at Chile’s National Centre for AI. With a PhD in Machine Learning from the University of Waikato and 12 years of experience spanning academia and industry (including Yahoo! Labs), he focuses on NLP and machine learning methods for extracting knowledge from text, applied to fairness, health, and education. He has a strong publication and program-committee track record across top venues (IJCAI, EMNLP, SIGIR, JMLR) and is actively creating a binational PhD program to anchor long-term national research capacity. Felipe combines hands-on technical depth with institutional leadership—mentoring students and shaping collaborations between universities, industry, and the public sector. Unusually for a researcher director, he retains active ties to the Waikato Machine Learning Group as an Honorary Research Associate, signaling ongoing international technical collaboration.
code12 years of coding experience
job9 years of employment as a software developer
bookMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at Universidad de Chile
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Waikato
languagesSpanish, English, German
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Github Skills (68)

textbook10
representations10
glove10
statistical-learning10
linear-models10
statsmodels10
nlp10
natural-language-understanding10
information-theory10
probabilistic-models10
self-organizing-map10
bayesian-statistics10
word-embeddings10
language-processing10
statistical-inference10

Programming languages (7)

JavaShellCSSTeXJavaScriptJupyter NotebookPython

Github contributions (5)

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dccuchile/CC6205

Jul 2019 - Jul 2022

Natural Language Processing
Contributions:5 reviews, 293 commits, 6 PRs in 3 years 1 month
nlpnatural-language-understandingword-embeddingslanguage-processingmachine-learning
Contributions:51 commits in 4 months
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