Projects

Research and academic projects

This page separates current research-level work from earlier academic coursework, helping supervisors and collaborators quickly assess the projects most relevant to my PhD trajectory in AI for healthcare.

Tier 1

Research projects

Institut Curie / Sanofi | 2025

Spatial Transcriptomics Analysis of Tumor Immune Exclusion

Visium HD pipeline for identifying CAF-mediated T cell exclusion signatures in lung squamous cell carcinoma. Identified 8 candidate genes. Manuscript in preparation.

CNRS | 2024

HRD Detection in Cancer WSIs via Foundation Models & MIL

Benchmarked AB-MIL, CLAM, Trans-MIL, and foundation models for homologous recombination deficiency detection. Achieved AUC 0.78 on breast cancer whole-slide images.

ArXiv preprint

Scientific illustration for homologous recombination deficiency detection in pathology whole-slide images

Sorbonne University | 2025

Cardiac Structure Segmentation from 2D Echocardiograms

nnU-Net pipeline for automated echocardiogram segmentation. Dice scores: LV endocardium 0.94, LV epicardium 0.91, left atrium 0.93.

Sorbonne University | 2024

Breast Cancer Subtype Classification via Multi-omics Integration

XGBoost pipeline integrating DNA methylation, CNV, mRNA, and miRNA data for breast cancer subtyping. Balanced multiclass accuracy: 0.90.

Tier 2

Academic course projects

Automatic Brain Tissue Segmentation from MRI

Comparative study of statistical and deep learning approaches for MRI brain tissue segmentation, including U-Net, LinkNet, and nnU-Net.

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Brain tissue segmentation from MRI project figure comparing probabilistic atlas and deep learning approaches

Lung CT Image Registration

Comparative evaluation of intensity-based and deep learning methods for inspiratory and expiratory lung CT registration using COPD image data.

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Lung CT image registration project figure for intensity-based and deep learning registration methods

Skin Lesion Classification Challenge

Transfer learning and ensemble modeling for automated skin lesion classification in a challenge setting.

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Skin lesion classification challenge figure showing transfer learning based dermatology image analysis

Brain Tissue Segmentation Using Expectation-Maximization

Unsupervised cluster-based segmentation of MRI brain tissues using EM and Gaussian mixture modeling, with preprocessing for improved robustness.

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Brain tissue segmentation figure using expectation-maximization and Gaussian mixture modeling

Image Registration and ATLAS Based Brain Tissue Segmentation

Atlas-based brain tissue segmentation with analysis of affine and bspline registration strategies for improved alignment and segmentation quality.

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Atlas-based brain tissue segmentation project figure with image registration and tissue labeling

Breast Mass Segmentation and Detection

Machine learning workflow for breast mass detection, segmentation, and classification from mammographic images.

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Breast mass segmentation and detection project figure for mammography analysis

Automated Skin Lesion Classification

Comprehensive analysis of transfer learning and machine learning techniques for clinically relevant skin lesion diagnosis.

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Automated skin lesion classification figure using transfer learning and machine learning techniques

Alzheimer's Disease Classification

Classification of Alzheimer's disease, mild cognitive impairment, and control groups using MRI and gene expression data with feature selection.

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Alzheimer's disease classification figure using MRI and gene expression data