Philippe Laban
Senior Research Scientist at Microsoft
New York, New York, United States
Summary
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Senior🎓
Top SchoolPhilippe Laban is a Senior Research Scientist at Microsoft Research in New York with 11 years of experience at the intersection of NLP and HCI, focusing on summarization, text editing, and evaluation of text-generation systems. He completed a Ph.D. at UC Berkeley working on NewsLens—a large-scale NLP-infused reading and writing interface—and has applied unsupervised and reinforcement-learning approaches to summarization and simplification. Formerly at Salesforce Research and Bloomberg, he has a track record of moving research into production, including newsroom-focused algorithms and autocomplete features for real-time news. Philippe combines deep technical rigor with user-centered design to explore new reading and writing interfaces, and his work emphasizes factuality and robust evaluation—an often under-emphasized aspect of generative NLP research.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBachelor of Science (B.S.), Electrical and Electronics Engineering, Bachelor of Science (B.S.), Electrical and Electronics Engineering at Georgia Institute of Technology
Github Skills (87)
python10
datasets10
huggingface10
deep-learning10
speech10
pandas10
multimodal10
audio10
ai10
computer-vision10
transformer10
nlp10
text-generation10
summarization10
artificial-intelligence10
Programming languages (8)
Github contributions (5)
tingofurro/shuffle_test
May 2021 - Oct 2022
Contributions:1 release, 7 commits, 6 pushes in 1 year 4 months
tingofurro/keep_it_simple
May 2021 - Sep 2022
Codebase, data and models for the Keep it Simple paper at ACL2021
Contributions:1 release, 12 commits, 10 pushes in 1 year 4 months
newsreinforcement-learningsimplificationtext-simplificationunsupervised-learning
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