Otilia Stretcu
Research Scientist at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolOtilia Stretcu is a research scientist at Google AI with a decade of experience bridging rigorous machine learning research and practical engineering. She completed a PhD in Machine Learning at Carnegie Mellon under Tom Mitchell and Barnabàs Pòczos, focusing on semi-supervised, curriculum, and graph-based learning, and has multiple internships and publications including NeurIPS work on graph semi-supervised models. Her background spans top academic programs (Cambridge MPhil, CMU MS/PhD) and hands-on contributions to open-source projects like TensorFlow’s neural-structured-learning where she improved data pipelines and GCN compatibility. Otilia is particularly interested in applying ML to neuroscience problems such as language understanding and speech control, reflecting a rare combination of theoretical depth and cross-disciplinary curiosity. She is based in Mountain View and combines research rigor with pragmatic backend development experience at scale.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Science, GPA: 9.98 (scale 10.0), Bachelor of Engineering (BEng), Computer Science, GPA: 9.98 (scale 10.0) at Politehnica University of TimisoaraMaster of Philosophy (M.Phil.), Advanced Computer Science, Master of Philosophy (M.Phil.), Advanced Computer Science at University of CambridgeErasmus Exchange Student, Erasmus Exchange Student at Linköping UniversityMaster of Science - MS, Machine Learning, 4.0, Master of Science - MS, Machine Learning, 4.0 at Carnegie Mellon University
Github Skills (8)
neural-network10
machine-learning10
tensorflow10
python10
adversarial-learning9
keras9
graph9
computer-vision7
Programming languages (2)
Github contributions (5)
tensorflow/neural-structured-learning
Sep 2019 - Jan 2022
Training neural models with structured signals.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 89 commits, 11 PRs in 2 years 5 months
Contributions summary:Otilia primarily fixed import statements and directory creation issues within the `neural-structured-learning` repository, specifically within the `research/gam` directory. These changes involve modifications to Python files, including those related to data loading, model definitions, and training scripts. The user also appears to be integrating and merging updates from upstream repositories. Further commits include adding 2 more layers to a CNN model and changes to make GCN models work.
adversarial-learningautoencodergraph-learningstructureddeep-learning
otiliastr/otiliastr.github.io
Dec 2017 - Jun 2021
Contributions:21 commits, 38 pushes in 3 years 6 months
cssjavascript
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