Dhiyaa Al Jorf

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Dhiyaa Al Jorf

I'm a researcher pursuing an MSc in Computer Science at ETH Zürich (Machine Intelligence major, Theoretical Computer Science minor), with a primary focus on applying causal learning and interpretability across a wide range of applications. Alongside my research, I have a deep interest in education and curriculum design, working to build accessible and engaging tech programs.

MSc in Computer Science — ETH Zürich · Sep 2025 – Present (anticipated Sep 2027)

BSc in Computer Engineering, summa cum laude — New York University Abu Dhabi · Aug 2021 – May 2025 · GPA 4.0/4.0

Skills

Programming: Python, C/C++, Java, C#, JavaScript, MATLAB, Bash, HTML/CSS

ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, scikit-learn

Tools: Git, Docker, Flask, React, Next.js

News

  • Jul 28, 2026

    Presented our agonist-antagonist coactivation paper at IEEE EMBC 2026

  • Jun 16, 2026

    Started the Summer@EPFL Program with the NLP Lab

  • Jun 11, 2026

    Submitted a paper for review with the SCI AI Lab on causal graph fusion for incomplete Spinal Cord Injury data

  • Jun 2026

    Wrapped up my Teaching Assistant role for the MAS AID AI Project course after a full academic year

  • Jul 9, 2026

    Abstract accepted at ESMO 2026 for Nexomic work

  • May 12, 2026

    Submitted an abstract to ESMO 2026 for Nexomic work

  • Apr 15, 2026

    Paper accepted at IEEE EMBC 2026 (agonist-antagonist coactivation for hand gesture recognition)

  • Feb 15, 2026

    Started work with Nexomic as an ML Research Engineer

  • Feb 13, 2026

    Began teaching the MAS AID AI Project Course

  • Jan 1, 2026

    Began research with the SCI AI Lab

  • Sep 20, 2025

    Joined the MAS AID program as a Teaching Assistant

  • Sep 15, 2025

    Started my Masters at ETH

  • Aug 28, 2025

    Co-developed an executive education program in Oxford for a delegation from South Korea

  • Jun 14, 2025

    Supported the UAE Chief Artificial Intelligence Officers Program 2025

Links

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