08.2025-Present
Machine Learning Researcher
University of Applied Sciences Koblenz
- Researching optimization dynamics and robustness in deep learning.
- Exploring physics-inspired inductive biases for reliable model generalization.
Student Researcher
Osamah Sufyan
Machine learning researcher with a background in theoretical physics, focused on medical imaging, computer vision, and robust AI systems.
Back to teamCV
I am a machine learning researcher with a parallel focus in theoretical physics. My work sits at the intersection of AI and physics, with a strong interest in building more robust learning systems through principled mathematical structure.
Experience
04.2024-07.2025
Research Assistant
Technical University Ilmenau
- Spiking neural networks.
- Reservoir computing with resonant tunneling diodes.
- Nonlinear dynamics and connections to machine learning performance.
07.2023-02.2024
Consultant
d-fine GmbH @ KPMG Germany
- Explored consulting roles in IT and banking regulation.
- Worked on the development of a counterparty credit risk engine using object-oriented Python for a major international bank.
04.2022-06.2023
Research Assistant
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- State-of-the-art quantum many-body theory.
- Numerical modelling of topological states of matter.
- Scientific computing.
Education
2020-2021
MSc in Theoretical Physics
University of Oxford
- Awarded the Thatcher Scholarship.
2017-2020
BSc in Physics
Technical University Berlin
- Awarded a scholarship from the Government of Yemen.
Skills
Computer vision, deep learning, transformers, LLMs, optimization, probability, statistical mechanics, theoretical physics, PyTorch, Python, and mathematical modelling.
Contact
osamah95av@gmail.com · github.com/Osamah-Sufyan · linkedin.com/in/osama-suf-497a13202/
