Asli Celikyilmaz
Agentic AI Research Director at Meta
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolAsli Celikyilmaz is an Agentic AI Research Director with 10+ years building deep learning and multi-agent systems applied to real-world interactive and conversational AI. She has led strategic research at Meta and now directs agentic AI research at Microsoft Research, drawing on a long track record as a senior researcher at Microsoft Research and affiliate faculty at the University of Washington. Her work spans deep generative models, spoken dialog, language understanding, and knowledge representation, consistently focusing on algorithms that move from theory to production. Trained with a PhD from the University of Toronto and a postdoc at UC Berkeley, she blends rigorous academic grounding with industry-scale leadership. Notably, she combines multi-agent learning perspectives with practical dialog system engineering—bridging collaborative AI research and deployable conversational experiences.
10 years of coding experience
13 years of employment as a software developer
Postdoc, Computer Science, Postdoc, Computer Science at University of California, BerkeleyBS, Engineering, BS, Engineering at Istanbul Technical UniversityPHD, Engineering, PHD, Engineering at University of Toronto, Canada
English
Github Skills (26)
arxiv9
python8
machine-learning8
pytorch8
data-science7
tensorflow7
parse7
deep-learning7
nlp6
neural-network5
natural-language-processing5
semantic-parsing5
jax4
in-progress2
gensim2
Programming languages (5)
Github contributions (5)
microsoft/ARXGEN
Jul 2018 - Oct 2018
Scripts to parse arxiv documents for NLP tasks
Contributions:25 commits, 4 pushes in 3 months
nlppythonarxivnlp-taskssemantic-parsing
nlg-world/nlg-world.github.io
Oct 2020 - Oct 2020
Contributions:5 commits, 5 pushes in 19 days
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