Yumnah Mohamied
Sr Research Scientist at Deepgram
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolYumnah Mohamied is a senior research scientist with 12 years of experience bridging academic rigor and applied machine learning, now focused on speech and vision models at Deepgram. With a PhD from Imperial College and a strong postdoctoral track record at Edinburgh, she has deep expertise in self-supervised learning, transformers, CNNs, LSTMs and generative models applied to ASR and medical imaging. She excels at mentoring and teaching—having supervised MSc and PhD students and lectured on ASR—while also coordinating technical groups and cross-disciplinary collaborations. Comfortable translating research into product-ready solutions, she seeks leadership or consultancy roles where an AI scientist’s technical judgment accelerates innovation. A less obvious strength is her early background in computational fluid dynamics and C++ tooling, which gives her a unique systems-level perspective on modelling and numerical stability.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Arterial blood dynamics, Doctor of Philosophy (Ph.D.), Arterial blood dynamics at Imperial College London
English, French, Arabic, Japanese
Github Skills (16)
sem9
sequence8
facebook7
python7
ctc7
spectral7
sequence-to-sequence7
pytorch6
nlp6
artificial-intelligence6
transformer-architecture5
natural-language-processing5
conformer5
machine-learning5
signal-processing4
Programming languages (2)
Github contributions (5)
ym1008/BPC
Jul 2021 - Jul 2024
Contributions:3 pushes, 1 branch in 3 years
certik/nektar
Oct 2013 - Jun 2015
Contributions:54 commits in 1 year 8 months
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