Xingjian Zhang

PhD Researcher in Biomedical Deep Learning

Paris, FR.

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 Physical Review X.

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Education

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Biomedical Engineering and Machine Learning

Ecole Polytechnique / Telecom Paris

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Mechanics: Biomechanics and Biomedical Engineering

Ecole Polytechnique

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Mathematics and Computer Science

Ecole Polytechnique

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Work

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Ecole Polytechnique & Telecom Paris

PhD Researcher

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Dassault Systemes

Research Engineer Intern

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Ecole Polytechnique

Research Intern

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Publications

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Log focal frequency loss for bioimage restoration

IEEE International Symposium on Biomedical Imaging (ISBI)

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Noninvasive real-time monitoring of cellular spatiotemporal dynamics via machine learning-enhanced electrical impedance spectroscopy

Science Advances

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Label-free multimodal non-linear microscopy to probe metabolism and myelin distribution

Communications Biology

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Microscale topography triggers dynamic 3D nuclear deformations

Advanced Science

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Myoblast mutation classification via microgroove-induced nuclear deformations

Medical Imaging with Deep Learning (MIDL) Short paper

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Modeling and predicting second harmonic generation from protein molecular structure

Physical Review X

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Projects

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Time-Series Modeling for Cellular Impedance

Designed and trained a CNN-LSTM model for cell classification based on electrical impedance spectroscopy data.

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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.

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BioImageLoader

Contributor to an open-source Python library designed for large-scale bioimage data loading in machine learning pipelines.

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Skills

ML/Research

PyTorch, JAX, TensorFlow, CNNs, ViTs, Time-Series, Self-Supervised Learning, GANs, Diffusion

Programming

Python, C++, Julia, R, MATLAB, SQL, Java

Infrastructure

Git, Docker, Bash/Shell, Multi-GPU Training, HPC/SLURM, PySpark, Pandas

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Languages

Chinese (Native)

English (C2)

French (B2)

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