Ili I
Data Scientist
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolIli I is a data scientist with 12 years of experience bridging cutting-edge machine learning research and real-world applications, currently working at the University of Oxford on linking T-cell receptors to target antigens. He holds a PhD in deep learning from NUS and has published at top venues (NeurIPS, ICML, CVPR, AAAI, IJCAI) with over 500 citations, reflecting a strong track record in non-convex optimization, hyperparameter tuning, and multimodal models. His work spans academia and industry—from leading research teams at Neuri and NUS to delivering analytics for an alternative investment firm—producing state-of-the-art surrogate optimization algorithms and interpretable forecasting methods. Notably, he has developed scalable, gradient-free optimizers that perform in up to 1,000 dimensions and has guided the translation of those methods into portfolio construction and vehicle design. Based in Oxford, he blends deep theoretical expertise with practical impact in bioinformatics, finance, and urban simulation.
12 years of coding experience
5 years of employment as a software developer
Master of Science in Financial Engineering (MScFE), Financial Engineering, Cumulative average score 94%, Master of Science in Financial Engineering (MScFE), Financial Engineering, Cumulative average score 94% at WorldQuant UniversityDoctor of Philosophy (Ph.D.), Deep Learning, Doctor of Philosophy (Ph.D.), Deep Learning at National University of Singapore
English
Github Skills (100)
parser10
projection10
python10
topological-data-analysis10
deep-learning10
gpu10
approximation10
gpu-acceleration10
dimensionality-reduction10
acceleration10
numpy10
neural-network10
tensor10
uniform10
tensorflow10
Programming languages (6)
Github contributions (5)
ilija139/Algorithms
May 2014 - May 2014
Contributions:2 commits in 17 days
ilija139/ilija139.github.io
Apr 2015 - Oct 2018
Contributions:198 pushes in 3 years 6 months
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