Hi, I'm Florian Dubost - Staff Machine Learning Engineer at Google
I'm a Staff ML Engineer at Google, driven to push AI frontiers, especially in semi-supervised learning and interpretability. I love tackling complex problems and translating research into impactful solutions, particularly in healthcare.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led AI development for medical imaging at Hyperfine and academic research at Harvard/Stanford.
Currently a Staff Machine Learning Engineer at Google, building cutting-edge AI.
Can help others by providing deep expertise in ML, AI strategy, and career guidance.
🚀 Career trajectory
Foundational Research & Education
Built a strong academic foundation with an MSc in Engineering from Centrale Marseille, an MSc in Medical Engineering from TUM, and a PhD in Machine Learning from Erasmus University Rotterdam, including research at Harvard Medical School and MIT.
✦ PhD
✦ Medical Engineering
✦ Machine Learning Research
Postdoctoral Deep Dive & Application
Gained advanced research experience during a postdoctoral position at Stanford University, further specializing in machine learning and computer vision.
✦ Postdoc
✦ Stanford University
✦ Computer Vision
Industry Application & Engineering
Transitioned to industry as a Machine Learning Engineer at Liminal Sciences, applying ML expertise to real-world problems, followed by a role as Staff Machine Learning Engineer at Google.
✦ Machine Learning Engineer
✦ Applied AI
💪🏻 Superpowers
Pioneering ML in Medical Imaging
Leveraging advanced ML techniques for critical healthcare applications.
✦ Developed ML algorithms for brain MRI, EEG, and video analysis.
✦ Applied AI to stroke, dementia, epilepsy, and sleep diagnostics.
✦ Focused on weakly-supervised learning and model interpretability.
Cutting-Edge ML Research & Development
Driving innovation through a strong academic and publication record.
✦ Authored over 30 peer-reviewed articles in top-tier journals and conferences.
✦ Holds PhD in Machine Learning from Erasmus University Rotterdam.
✦ Postdoctoral research at Stanford University, academic work at Harvard/MIT.
AI Expertise at Leading Tech Companies
Translating research into impactful engineering solutions at Google.
✦ Staff Machine Learning Engineer at Google, driving AI strategy.
✦ Previous ML Engineer role at Hyperfine Inc./Liminal Sciences.
✦ Award-winning performance in deep learning competitions.
I'm excited about
✦ Exploring collaborations on novel AI applications.
✦ Seeking opportunities to mentor and guide emerging AI talent.
✦ Discovering new communities focused on advanced ML research.
I can help with
✦ Providing expertise on deep learning model development and interpretability.
✦ Offering guidance on applying ML to complex scientific and medical data.
✦ Sharing insights on navigating a career in AI research and engineering.
I would love your help on
✦ Connecting with innovators in sustainable AI technologies.
✦ Identifying potential collaborators for cross-disciplinary research projects.
✦ Finding opportunities to speak at leading AI conferences.