プロフィール詳細

プロジェクトを作成

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Mouhamadou Lamine S.に依頼

France

AI & Data Scientist for Healthcare | Medical Imaging, Mass Spectrometry and Clinical Data

プロフィール概要

I am an AI engineer and doctoral researcher specializing in artificial intelligence applied to medical biology and clinical data analysis. My work focuses on developing robust machine learning and deep learning methods for medical imaging, MALDI-TOF mass spectrometry, and biomedical signal analysis, with applications in infectious disease diagnostics and microbiology. I have experience working with real-world biomedical datasets, including microscopy images and mass spectrometry spectra, where I design end-to-end pipelines covering data preprocessing, quality control, feature engineering, model development, and evaluation. My work also involves addressing challenges such as domain shift, multi-site variability, and robustness in clinical AI systems. My technical expertise includes: Machine learning and deep learning for biomedical data Analysis of MALDI-TOF mass spectrometry spectra Medical image analysis and computer vision Signal processing and spectral data modeling Python-based scientific computing and reproducible research pipelines I collaborate in interdisciplinary environments involving clinicians, microbiologists, and AI researchers, which allows me to develop solutions that are both technically rigorous and clinically meaningful. I am available for freelance collaborations involving: Biomedical data analysis and AI model development Machine learning for diagnostic and laboratory data MALDI-TOF spectrum analysis and classification Prototype development for biotech and healthcare applications Research support for publications, proof-of-concept studies, and scientific projects.

専門分野

• ☆ Mass Spectrometry
• ☆ Microscopy
• ☆ Data Analysis
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Python
• ☆ Excel
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Hypothesis
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Feasibility Studies

サービス

• Research
• Data & AI

Research Meta-Research, Feasibility Study, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Ingénieur de recherche

Assistance Publique – Hôpitaux de Paris

9月 2024 - 現在

学歴

PhD Candidate, Artificial Intelligence in Real-Time Medical Imaging

Université Pierre et Marie Curie (Paris VI) - France

12月 2025 - 現在

Masters of Science

Université de Technologie de Troyes - France

9月 2022 - 3月 2025

認定資格

• Cypher Fundamentals Cypher Fundamentals

  Neo4j

  https://graphacademy.neo4j.com/c/4b78a435-9d20-4ddb-beae-75d636a0dbd9/

  12月 2023 - 現在

• Neo4j Fundamentals

  Neo4j

  https://graphacademy.neo4j.com/c/3a1715a9-ba1a-4842-9dce-a78b4489bfeb/

  10月 2023 - 現在

出版物

JOURNAL ARTICLE

Mouhamadou Lamine Sane, Louise Guillon, Soheib Biga, Yendoube E. Kantchire, Grégoire Pasquier, Kossi Yakpa, Stéphane E. Sossou, Marc Thellier, Laurent Bonnardot, Laurence Lachaud, et al.(2025). Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach . arXiv