Dana Alon
Research Scientist at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolDana Alon is a Research Scientist at Google DeepMind with over 15 years of expertise in Natural Language Processing, Machine Learning, and Conversational AI. At Google Research she led teams focused on ML/LLM quality, safety, and robustness, and has published at top venues including ACL, NeurIPS, and NAACL. Her background blends deep academic training (PhD from Carnegie Mellon) with extensive industry impact spanning Google, DeepMind, and contributions to high-profile open-source projects like google-research (notably improving a BERT-based emotion classifier and adding graph compression features). She combines hands-on engineering, tech leadership, and management to move research into production-grade systems. Based in Mountain View, she brings a rare mix of computational biology origins and long-term work on graph ML and conversational systems that inform pragmatic, safety-conscious model design.
13 years of coding experience
19 years of employment as a software developer
M.Sc. Computer Science and Computational Biology, M.Sc. Computer Science and Computational Biology at The Hebrew University of JerusalemDoctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Carnegie Mellon University
Hebrew, English
Github Skills (8)
machine-learning10
tensorflow10
python10
bert9
ai9
nlp9
eval8
evaluation8
Programming languages (3)
Github contributions (5)
google-research/google-research
May 2020 - Nov 2021
Google Research
Role in this project:
ML Engineer
ML EngineerContributions:10 commits, 1 comment in 1 year 6 months
Contributions summary:Dana contributed extensively to the `goemotions` directory, focusing on a BERT-based emotion classification model. Their work involved modifying the `bert_classifier.py` script, updating the data processing, and incorporating evaluation metrics. The user also removed dependencies and made several changes that improved the model. Furthermore, the user added a new compression feature to the graph compression library.
googlemachine-learningai
habeascorpus/habeascorpus-data-withComments
Mar 2014 - May 2015
9 open-source projects, including original source files and tokenizations of the code and comments
Contributions:4 commits, 1 push in 1 year 2 months
javapythoncommentssource-files
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