I am a research engineer at INRAE, MIA Paris-Saclay, SOLsTIS team.
My research interests are:
- Hidden Markov models and Bayesian inference
- Statistical signal processing
- Machine learning, deep learning
- Solving problems in medical and environmental sciences
Between 2020 and 2022, I was a postdoctoral researcher at Télécom SudParis and IRISA. I worked on unsupervised statistical image segmentation approaches and unsupervised anomaly detection. Between 2017 and 2020, I was a PhD student working at Geprovas and ICube. I worked on developping new tools for the processing of images from vascular surgery. Before that, I graduated from the French engineering school Télécom SudParis in 2017.
Webpage available here https://hgangloff.github.io/