Ozan Oktay
Quantitative Researcher
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolOzan Oktay is a quantitative researcher and tech lead with 11+ years building and deploying machine learning systems across digital health and finance, holding a PhD in Computer Science from Imperial College London. He has led multidisciplinary teams at Microsoft to create health foundation models and multi-modal generative systems, partnered with Novartis on an AI Innovation Lab, and driven NHS-impacting cancer care improvements. His work spans from medical image segmentation (notably public contributions like Attention-Gated-Networks) to large-scale distributed training, LLMs, and counterfactual generative modeling. Equally at home in research and product delivery, he has translated prototypes into clinical pipelines used at scale and now applies quantitative ML to market strategies. Colleagues describe him as a collaborative leader who prioritizes communication, inclusion, and a growth mindset while pursuing AI with measurable societal benefit.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Imperial College LondonMaster of Science (MSc), Computer and Information Sciences, General, Master of Science (MSc), Computer and Information Sciences, General at EPFLBachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Turkish, German, English
Github Skills (11)
neural-network10
pytorch10
machine-learning10
image-segmentation10
convolutional-neural-networks10
segmentation10
trainings10
python10
modeling10
deep-learning9
computer-vision9
Programming languages (1)
Github contributions (5)
ozan-oktay/Attention-Gated-Networks
Apr 2018 - Nov 2020
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Role in this project:
ML Engineer
ML EngineerContributions:18 commits, 1 PR, 14 pushes in 2 years 7 months
Contributions summary:Ozan primarily contributed to the development of convolutional neural networks for medical image analysis. Their work included defining and implementing custom layers, such as grid attention blocks and multi-attention blocks, as well as modifying the network architecture. They also created a training script for segmentation tasks, including data loading, model training, and evaluation. Several commits were for the creation and maintenance of the library setup.
pytorchsegmentationmedical-imagedeep-learninggates
ozan-oktay/torchsample
Nov 2017 - Mar 2018
Contributions:10 commits, 10 pushes in 4 months
pytorchhigh-leveltrainingtraining-dataaugmentation
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