Franck Dernoncourt
Researcher In AI And NLP at Adobe
United States
Summary
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Rockstar🎓
Top SchoolFranck Dernoncourt is a researcher in AI and NLP with 15 years of experience, currently leading machine learning and natural language work at Adobe Research after completing a PhD at MIT. He has co-authored over 100 peer-reviewed publications and holds 50+ patents, reflecting a strong track record of novel, applied research. His hands-on contributions to open-source projects like NeuroNER show deep expertise in sequence models, bidirectional LSTMs and CRF integration for state-of-the-art NER. Comfortable bridging academia and industry, he combines rigorous theoretical training with product-focused innovation in language technologies. Unusually for a researcher at his level, he also has entrepreneurial and quantitative trading experience, giving him a pragmatic, cross-domain perspective on deploying AI.
15 years of coding experience
11 years of employment as a software developer
Bachelor & Master of Science, Information Systems, Bachelor & Master of Science, Information Systems at HEC School of ManagementBaccalaureate & Prepa, Mathematics, Physics, geopolitics, philosophy and languages, Baccalaureate & Prepa, Mathematics, Physics, geopolitics, philosophy and languages at Lycée Henri IVNational Conservatory of Arts and CraftsBachelor, Mathematics applied to finance & economics, Bachelor, Mathematics applied to finance & economics at Université Paris Dauphine - PSLOnline courses, Computer Science, Online courses, Computer Science at Coursera/edX/UdacityResearch Master, Cognitive Science (CogMaster), Research Master, Cognitive Science (CogMaster) at ENS UlmSummer Visitor, Mathematics & Economics, Summer Visitor, Mathematics & Economics at Peking UniversityPhD, Computer Science & Artificial Intelligence, PhD, Computer Science & Artificial Intelligence at MITGraduate Visitor, Information Systems, Graduate Visitor, Information Systems at University of BathGraduate Visitor, Computer Science, Graduate Visitor, Computer Science at Stanford University
English, French
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Github Skills (48)
artificial-intelligence10
unix10
python10
nltk10
machine-learning10
linux10
matlab10
terminology10
numpy10
dictionary10
deep-learning10
tensorflow10
neural-network10
nlp10
mysql9
Programming languages (15)
Github contributions (5)
Franck-Dernoncourt/NeuroNER
Mar 2017 - Oct 2019
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 69 commits, 15 PRs in 2 years 7 months
Contributions summary:Franck's commits primarily involve refactoring and improving the `entity_lstm.py` file, which defines the core neural network model for named-entity recognition. They implemented improvements to the bidirectional LSTM layer, including switching to a `CoupledInputForgetGateLSTMCell`. Further contributions involve adding CRF layer and applying embeddings. Additional commits include the addition of the spaCy library, suggesting the user may have expertise in utilizing NLP tools for this task.
nlppytorchnamed-entity-recognitionartentity-recognition
Franck-Dernoncourt/planet-wars
Nov 2010 - Sep 2013
Contributions:5 commits in 2 years 10 months
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