About
PhD researcher at Ecole Polytechnique specializing in self-supervised and generative deep learning for biomedical imaging. Industry research experience building and training ML models on multi-GPU clusters. Publications including Science Advances, Communications Biology, and P...
See more
Education
Biomedical Engineering and Machine Learning
Ecole Polytechnique / Telecom Paris
Mechanics: Biomechanics and Biomedical Engineering
Ecole Polytechnique
See more
Work
Ecole Polytechnique & Telecom Paris
PhD Researcher
Dassault Systemes
Research Engineer Intern
See more
Publications
Log focal frequency loss for bioimage restoration
IEEE International Symposium on Biomedical Imaging (ISBI)
Noninvasive real-time monitoring of cellular spatiotemporal dynamics via machine learning-enhanced electrical impedance spectroscopy
Science Advances
See more
Projects
Time-Series Modeling for Cellular Impedance
Designed and trained a CNN-LSTM model for cell classification based on electrical impedance spectroscopy data.
Hot Flash Detection from Wearable Signals
Developing machine learning models for the automated detection and prediction of hot flash events using wearable skin conductance signals.
See more
Skills
ML/Research
PyTorch, JAX, TensorFlow, CNNs, ViTs, Time-Series, Self-Supervised Learning, GANs, Diffusion
Programming
Python, C++, Julia, R, MATLAB, SQL, Java
See more
Languages
Chinese (Native)
English (C2)
See more