Walter Pinaya
Staff Machine Learning Researcher at Hologen
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolWalter Pinaya is a Staff Machine Learning Researcher with 11 years of experience bridging neuroscience and AI, currently based in London and leading ML efforts at Hologen after heading video model pretraining at Synthesia. He holds a PhD in Neurobiology and Behavior and built large-scale normative generative models for brain imaging during a prolific postdoctoral career at King’s College London, deploying models across HPCs and federated-learning platforms in partnership with NVIDIA, Canon and NHS hospitals. Walter’s work spans end-to-end research-to-production pipelines—open-source core contributions to MONAI Generative Models and federated interoperability tools have been showcased at NVIDIA GTC and used in multi-institution clinical deployments. Known for combining rigorous academic methods with practical engineering, he has moved anomaly detection and personalized neuroimaging models from papers into scalable infrastructure.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at USCS - Universidade Municipal de São Caetano do SulDoctor of Philosophy - PhD, Neurobiology and Behavior, Doctor of Philosophy - PhD, Neurobiology and Behavior at Universidade Federal do ABC
English, Portuguese, Spanish
Stackoverflow
41reputation
3kreached
1answer
0questions
Github Skills (101)
anomaly-detection10
python10
diffusion-models10
svm10
sklearn10
deep-learning10
mnist10
medical-imaging10
autoencoder10
ml10
ai10
neural-network10
medical-image-processing10
image-translation10
rvm10
Programming languages (7)
Github contributions (5)
Warvito/discovering-hidden-factors-of-variation-in-deep-networks
Mar 2018 - Apr 2019
Contributions:16 commits in 1 year 1 month
Mind-the-Pineapple/Autoregressive-models
Jun 2019 - May 2020
Tensorflow 2.0 implementation of Deep Autoregressive Models
Contributions:110 commits, 25 pushes in 10 months
autoregressive-modelstensorflowpixelcnngated-pixelcnnautoregressive-neural-networks
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