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saeedshurrab/README.md

📋 About me!

I am currently pursuing a Ph.D. in Biomedical Engineering at New York University Abu Dhabi and Tandon School of Engineering at NYU, as a Global Ph.D. Fellow with the Clinical AI Lab. In 2022, I earned my Master of Science in Data Science and Artificial Intelligence, with distinction, from Jordan University of Science and Technology. My master's studies were fully funded through the prestigious German Academic Exchange Service (DAAD) award. Prior to that, in 2014, I completed my Bachelor of Science in Industrial and Systems Engineering at the Islamic University of Gaza. My passion for data analytics, coupled with a strong belief in the transformative power of data to drive robust decision-making and innovative solutions, has led me to pursue a career in data science focused on machine learning applications for healthcare data.

🔭 Research interest:

My current research focuses on developing foundation models for structured electronic health record (EHR) data, with a particular emphasis on advancing the retrieval of patients historical events for clinical prediction tasks via retrieval-augmented techniques. I am interested in creating value-aware and context-sensitive encodings that better capture the complexity of patient trajectories, enabling more accurate prediction, retrieval, and decision-support systems. Ultimately, my goal is to design machine learning methods that are both clinically meaningful and computationally robust, advancing safer, more reliable, and patient-centered applications of artificial intelligence in healthcare.

📫 Feel free to reach me via:

  1. gshurrab@gmail.com
  2. saeed.shurrab@nyu.edu
  3. sshurrab91@daad-alumni.de

💬 Follow my latest updates on:

https://saeedshurrab.github.io/

🌱 Featured publications

💬 Connect:

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  1. awesome-self-supervised-learning-in-medical-imaging awesome-self-supervised-learning-in-medical-imaging Public

    This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medical images computing field

    160 16

  2. Contrastive-positive-pairs-selection-strategies Contrastive-positive-pairs-selection-strategies Public

    This repo. contains the code work of my thesis

    Jupyter Notebook 4 1

  3. OCT-Scans-Classification OCT-Scans-Classification Public

    This project compares two learning paradigm, namely transfer-learning and self-supervised learning in a classification task of three retina disorders CNV, DME and DUSEN in addition to the normal co…

    Jupyter Notebook 3

  4. COVID19-attitudes-eval COVID19-attitudes-eval Public

    This repo contains the source code and data of the research paper entitled with: Attitudes Evaluation Toward COVID-19 Pandemic: An Application of Twitter Sentiment Analysis and Latent Dirichlet All…

    Jupyter Notebook 1

  5. Simple-BYOL Simple-BYOL Public

    A simple implementation of Bootstrap Your Own latent paper

    Python 2 1

  6. SimSiam-pytorch SimSiam-pytorch Public

    Pytorch implementation of SimSiam Architecture

    Python 2