Youmna Farag
Research Scientist at Toshiba Research Europe Limited
Greater Cambridge Area United Kingdom
Summary
👤
Senior🎓
Top SchoolYoumna Farag is a research scientist at Toshiba Research Europe with a decade of experience bridging academic NLP research and practical software engineering. She focuses on embodied AI and language-and-vision agents, currently building task-aware agents in the AI2-THOR simulator using LLMs and computer vision. Her PhD from Cambridge developed neural methods for discourse coherence and an evaluation framework probing what coherence models learn, with applications to everyday writing and education. Previously she led mobile and web engineering teams in Egypt, giving her a strong product-oriented perspective on deploying ML systems. Her toolkit spans transformers, recurrent and convolutional networks, adversarial and multi-task training, and deep-learning interpretability across Theano, Keras, and PyTorch. Notably, she combines deep theory on discourse with hands-on agent development, making her work both scientifically rigorous and directly applicable.
10 years of coding experience
10 years of employment as a software developer
PhD, Computer Sciencce, PhD, Computer Sciencce at University of CambridgeBachelor of Science (B.Sc.), Computer Science, 3.89, Bachelor of Science (B.Sc.), Computer Science, 3.89 at The American University in Cairo
Arabic, English
Github Skills (66)
python10
deep-learning10
data-science10
tensorflow10
pytorch10
machine-learning10
squad9
jax9
transfer-learning9
nlp9
summarization9
text-generation9
question-answering9
korean-nlp9
haystack8
Programming languages (4)
Github contributions (5)
Youmna-H/Coherence_AES
Apr 2018 - Jul 2020
Contributions:7 commits, 8 pushes, 1 branch in 2 years 3 months
Youmna-H/coherence_mtl
May 2019 - Nov 2019
Contributions:3 commits, 2 pushes, 1 branch in 6 months
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