Laura Hanu
Senior Member Of Technical Staff at Salesforce
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolLaura Hanu is a Senior Member of Technical Staff and machine learning engineer with 8+ years of experience building deep learning systems for safety-critical domains, from medical imaging to toxic-content detection online. She has driven research and production work at Unitary—contributing to the widely used detoxify models—and researched adversarial robustness at Oxford, combining strong academic foundations in unsupervised 3D representation learning with hands-on model engineering. Currently at Salesforce after Convergence’s acquisition, she focuses on multimodal foundation models and pragmatic deployment of ML safety and explainability techniques. Laura’s background in biomedical engineering and experience with fractal analysis of MR elastography give her a distinctive blend of signal-level insight and large-scale model practice, and she remains interested in AI safety, neurotechnology and the mechanics of imagination.
8 years of coding experience
9 years of employment as a software developer
High School, High School at Mihai Viteazul National CollegeMSc Biomedical Engineering with Neurotechnology Biomedical/Medical Engineering, MSc Biomedical Engineering with Neurotechnology Biomedical/Medical Engineering at Imperial College LondonBachelor’s Degree Biomedical Engineering, Bachelor’s Degree Biomedical Engineering at King's College London
English, Romanian, French
Github Skills (10)
transformers10
data-loading10
pytorch10
machine-learning10
nlp10
python10
bert10
data-science10
huggingface9
pytorch-lightning9
Programming languages (3)
Github contributions (5)
unitaryai/detoxify
Sep 2020 - Dec 2022
Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.
Role in this project:
Data Scientist
Data ScientistContributions:9 releases, 29 reviews, 175 commits in 2 years 3 months
Contributions summary:Laura contributed code for data loading, metrics, and utilities related to the Jigsaw Toxic Comment Classification Challenges, indicating a focus on model training and evaluation. They implemented data loaders for various Jigsaw datasets, including BERT-based models. The commits involved modifications to the metric functions, the creation of training scripts, and adapting test files for calculating AUC scores, indicating an involvement in the model training and evaluation process.
distilbertpythonberttoxic-commentspredict
laurahanu/laurahanu.github.io
Jul 2019 - Sep 2024
Contributions:26 PRs, 105 pushes, 1 branch in 5 years 2 months
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