Tuan Le
Machine Learning Research Scientist at Pfizer
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolTuan Le is a machine learning research scientist based in Berlin with eight years of experience applying probabilistic modelling, representation learning and generative methods to molecular structures and drug design. Currently at Pfizer, he focuses on graph neural networks and generative modelling of 3D small-molecule representations, building on PhD-level research and prior industry work at Bayer. His background blends strong statistical training (MSc in Statistics) with practical ML engineering—from NLP for medical text to cloud-based data pipelines and fraud detection systems. He also co-founded a global networking community for Vietnamese professionals, reflecting an interest in building cross-border technical and cultural connections. Notably, his research ties optimal transport theory and probabilistic models to representation learning for molecules, bridging rigorous theory with impactful applied chemistry problems.
8 years of coding experience
5 years of employment as a software developer
Ludwig Maximilian University of MunichDoktor (Ph.D.), Computer Science, Doktor (Ph.D.), Computer Science at Freie Universität BerlinBachelor of Science - BS, Industrial Engineering, 2,0, Bachelor of Science - BS, Industrial Engineering, 2,0 at Karlsruher Institut für Technologie (KIT)
German, English, Vietnamese
Github Skills (79)
classifier10
graph-convolutional-networks10
variational-autoencoder10
graph10
graph-neural-network10
geometric-deep-learning10
pytorch10
artwork10
generative-model10
convolutional-neural-networks9
connected9
bengali9
document-classification9
wordnet9
variable-selection9
Programming languages (4)
Github contributions (5)
tuanle618/deepArt-generation
Oct 2018 - Nov 2019
Repository for generating arts using modern algorithms such as deep convolutional generative nets or conv. variational autoencoders where data/images to be learned is scraped from wikiart.org
Contributions:9 commits, 1 PR, 23 pushes in 1 year 1 month
pythonautoencoderskeras-tensorflowtensorflowdata-science
tuanle618/neural-net-random-art
Feb 2019 - Mar 2022
Repository for creating random abstract art using fully connected neural networks
Contributions:12 commits, 2 PRs, 13 pushes in 3 years 1 month
pythonartneural-networksmachine-learningconnected
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