🌐 Webpage: https://danielsajben.netlify.app/
🎓 Final-year Computer Science Engineering BSc student at BME, currently finishing an AI-focused Erasmus exchange at TUM
🤖 Passionate about Machine Learning, Deep Learning, and Generative AI, with strong experience in LLMs, diffusion models, and computer vision
🔬 Active researcher: TDK competitor, contributor to an IJCAI 2026 submission on GNN–LLM temporal reasoning, and working on Survival Analysis with Tabular Foundation Models
🧠 Enjoy building scalable Python systems, data pipelines, and ML tools for real-world problems
💼 Past experience at Morgan Stanley in software engineering
🚀 Motivated to develop impactful, production-ready AI solutions and always eager to learn
🌍 Ambitious about an international tech career and passionate about applying AI to solve meaningful challenges in healthcare
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ExerciseLogger
ExerciseLogger PublicThis is a gym and exercise logging application built with React and TypeScript. It features a sleek, user-friendly interface powered by Material UI. The app allows you to search for exercises and l…
TypeScript
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fmri-diffusion
fmri-diffusion Publicfmri-diffusion is a Latent Diffusion Model (LDM)-based framework for generating synthetic fMRI images. It processes brain activity data and learns to generate realistic fMRI scans using a diffusion…
Python
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MoleCancerDetection
MoleCancerDetection PublicThis is our Deep-Learning model that is able to detect wheter a mole is malignant or not.
Jupyter Notebook
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Laminfr/TFM_for_Medical_Prognostic_Task
Laminfr/TFM_for_Medical_Prognostic_Task PublicForked from Jeanselme/NeuralFineGray
Neural network model for competing risks - Implementation of Neural Fine Gray
Jupyter Notebook
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