Sayed Hashim 🧑‍💻️
Sayed Hashim

Postgraduate Researcher

SAINTS CDT, University of York

About

I am a postgraduate researcher at SAINTS CDT, University of York. I currently work on building safe ML models for cancer treatment. My research interests include domain generalisation / adaptation, self-supervised learning, and biological interpretability. I’m also a mobile app developer. I developed and maintain a cross-platform ethical matchmaking mobile app.

Interests
  • Safe ML for Cancer Treatment
  • Domain Adaptation / Generalisation
  • Trustworthy AI in Clinics
  • Self-supervised Learning
  • Multi-omics Analysis
  • Biomarker Discovery
  • Biological Interpretability
Education

  • PhD in Safe AI

    University of York

  • Master of Science in Machine Learning

    Mohamed Bin Zayed University of Artificial Intelligence

  • Bachelor of Computer Science (Artificial Intelligence)

    University of Malaya

📚 My Research

I’m passionate about building safe ML models to save and improve people’s lives. My current research focuses on assuring safety of ML models used in cancer treatment.

Please reach out to collaborate 😃

Publications
Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub (2022). Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. Biocomputing 2023.
Cite DOI URL
Muhammad Ali, Sayed Hashim (2022). TransformNet: Self-supervised Representation Learning Through Predicting Geometric Transformations. 2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST).
Cite DOI URL
Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub (2022). SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. 2022 10th International Conference on Bioinformatics and Computational Biology (ICBCB).
Cite DOI URL
Muhammad Ali, Sayed Hashim (2022). Survey on Self-supervised Representation Learning Using Image Transformations. arXiv.
Cite DOI URL

Experience

  1. Founder & Mobile App Developer

    Nisf

    Leads the software development lifecycle of a cross-platform ethical matchmaking mobile app.

    Deployed and maintained with regular updates on Play Store and App Store.

Education

  1. PhD in Safe AI

    University of York

    UKRI Postgraduate Researcher (PGR) at SAINTS, a multidisciplinary Centre for Doctoral Training (CDT) in Safe AI.

    Works on building safe ML models for cancer treatment in the areas of domain adaptation and self-supervised learning.

    Courses included:

    • Artificial Intelligence
    • Law, Society and Ethics of AI-enabled Autonomous Systems
    • Safe AI

  2. Master of Science in Machine Learning

    Mohamed Bin Zayed University of Artificial Intelligence

    Research-based programme with taught modules in machine learning.

    Courses included:

    • Machine Learning, Advanced Machine Learning
    • Probabilistic and Statistical Inference
    • Mathematical Foundations for Artificial Intelligence
    • Optimisation
    • Research Communication and Dissemination

  3. Bachelor of Computer Science (Artificial Intelligence)

    University of Malaya

    Courses included:

    • Programming, Data Structures, Algorithms
    • Linear Algebra, Calculus, Probability & Statistics
    • Database, Software Modelling
    • Computer Systems Organisation and Architecture
    • Machine Learning, Neural Computing
    • Image Processing, Natural Language Processing, Intelligent Robotics
Skills & Hobbies
Technical Skills
Python
PyTorch
Flutter
Hobbies
Football
Coding
Awards
Deep Learning Specialization
Coursera ∙ Present
2020-04-27
AI for Medicine Specialization
Coursera ∙ August 2020
IEEEXtreme 13.0 Programming Competition, 5th place in Malaysia
IEEE ∙ November 2019
Languages