Activity
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Digging into FlowerLLM: Part Two In our next installment, we are joined by Alex Iacob who will dive into how we support "federations of federations"…
Digging into FlowerLLM: Part Two In our next installment, we are joined by Alex Iacob who will dive into how we support "federations of federations"…
Liked by Bao Nguyen
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Get to know some of the team behind FlowerLLM that yesterday launched FlowerLLM-3B: the first time LLM pre-training has been possible for a 3B model…
Get to know some of the team behind FlowerLLM that yesterday launched FlowerLLM-3B: the first time LLM pre-training has been possible for a 3B model…
Liked by Bao Nguyen
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📣 FlowerLLM Update: Introducing FlowerLLM-3B -- The world's 1st 3B LLM pre-trained using FL After first publicly launching 🌼FlowerLLM at FS24…
📣 FlowerLLM Update: Introducing FlowerLLM-3B -- The world's 1st 3B LLM pre-trained using FL After first publicly launching 🌼FlowerLLM at FS24…
Liked by Bao Nguyen
Experience
Education
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University of Cambridge
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Awarded Scholarship from the Department of Computer Science @ Cambridge
Modules taken:
Geometric Deep Learning
Theory of Deep Learning
Overview of Natural Language Processing
Principles of Machine Learning Systems
Machine Learning and the Physical World
Research Skills Programme -
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Top 3% of cohort
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Mathematics - A*
Further Mathematics - A*
Computer Science - A
Volunteer Experience
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Software Engineer
Park View School
- 8 months
Education
I developed a booking system to enhance the existing workflow of parent evening bookings at Park View School, improving their efficiency and reducing cost as a result. I worked as a full-stack engineer collaboratively alongside five other students, utilizing the Scrum agile methodology to designate and organize tasks.
ANGULAR | JAVA | MARIADB
Publications
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Unsupervised Region-based Anomaly Detection in Brain MRI with Adversarial Image Inpainting
IEEE ISBI (International Symposium on Biomedical Imaging)
See publicationFor my undergraduate thesis, I developed an inpainting-based segmentation system for brain tumour MRI, which advanced the current state-of-the-art. I worked closely with medical experts from the NHS to identify real-world problems, studied the current literature and came up with strategies to tackle their limitations. The proposed method is fully automatic, requiring no user intervention or manual thresholding. The paper was accepted by IEEE ISBI…
For my undergraduate thesis, I developed an inpainting-based segmentation system for brain tumour MRI, which advanced the current state-of-the-art. I worked closely with medical experts from the NHS to identify real-world problems, studied the current literature and came up with strategies to tackle their limitations. The proposed method is fully automatic, requiring no user intervention or manual thresholding. The paper was accepted by IEEE ISBI 2021.
https://ieeexplore.ieee.org/document/9434115
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