Summary
Omar Jahangir is a Data Scientist and PhD candidate at UCL who applies deep learning to particle physics problems, specifically designing ML approaches to detect dark matter. With eight years’ experience bridging academia and industry, he has built anomaly detection and causal discovery systems for healthcare—work that supported faster diagnoses at Great Ormond Street Hospital and a 79% accuracy result during a Babylon Health internship. He teaches core ML concepts and frameworks (Keras, TensorFlow, PyTorch) to undergraduates and has practical engineering experience from X‑ray/CT R&D to automated lab instrumentation. Comfortable with semi‑supervised and unsupervised methods, Omar combines rigorous experimental practice with production-aware tooling (Git, GPUs, Python), making him effective at turning complex research into impactful applications.
8 years of coding experience
3 years of employment as a software developer
GCSE, GCSE at Brampton Manor Secondary
Master of Science (MSci) Physics, Master of Science (MSci) Physics at Imperial College London
University College London
A-Levels: Maths Chemistry Physics, A-Levels: Maths Chemistry Physics at Seven Kings High School
Islamic Theology and Jurisprudence Islamic Studies, Islamic Theology and Jurisprudence Islamic Studies at Imam Zakariya Academy
English, Urdu, Arabic