Majd Abdallah
Paris, Ile-de-France
Summary
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SeniorMajd Abdallah is an R&D scientist based in Paris with nine years of experience at the crossroads of AI, NLP, biomedical research, and clinical informatics. He builds foundation models and LLM-driven pipelines for echocardiography, ECG, and clinical note normalization, and has engineered databases and vector search solutions using PostgreSQL, LanceDB and FAISS to support real-world clinical retrieval. His background spans academic neuroimaging (PhD) and probabilistic logic tooling—co-developing NeuroLang and publishing meta-analyses in Nature Communications—bringing rigorous scientific methods to production ML for healthcare. Majd also authored TrialMatchAI for LLM-powered patient-trial matching within EOSC4Cancer, demonstrating his ability to translate open-science research into practical clinical tooling. He combines deep domain knowledge in brain–behavior modeling with hands-on systems engineering and a taste for domain-specific languages that automate diagnostic reasoning.
9 years of coding experience
Github Skills (41)
python10
cancer-genomics10
brain-imaging10
decoding10
neuroimaging10
langchain9
chatgpt9
clinical-trials9
sentence-embeddings9
llm9
typescript9
machine-learning9
biomedical-named-entity-recognition9
biomedical-text-mining9
generative-ai9
Programming languages (2)
Github contributions (5)
cbib/TrialMatchAI
May 2024 - Jul 2026
TrialMatchAI leverages large language models to streamline clinical trial matching by evaluating patient-specific clinical characteristics against trial eligibility criteria and generating relevant, ranked trial recommendations.
Contributions:1 release, 1 PR, 67 pushes in 2 years 2 months
large-language-modelsartificial-intelligencecancer-genomicsclinical-trialspersonalized-medicine
majdabd/nilearn
Jun 2019 - Jan 2021
Machine learning for NeuroImaging in Python
Contributions:1 PR, 1 push, 1 branch in 1 year 7 months
neural-networkneuroimagingpythonmachine-learning
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