Dan Iliescu
Machine Learning Researcher at Point72
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolDan Iliescu is a Machine Learning Researcher with a PhD from the University of Cambridge and nine years of experience building and deploying ML systems across finance, speech, and vision. He has published at top ML venues and led teams to productionize models—most recently fine-tuning Llama/Mistral-scale LLMs on financial reports to deliver a deployed alpha with a Sharpe ratio ~2 at Schonfeld. His PhD work focused on self-supervised generative models (VAEs and Transformers), and he delivered state-of-the-art controllable TTS methods at Papercup that were preferred by users three-quarters of the time. Comfortable moving models from research to product, he has held roles at The Alan Turing Institute and Point72 and taught machine learning and Bayesian inference to undergraduates. He combines rigor in academic research with practical leadership in small engineering teams and a track record of shipping production-ready models for high-stakes domains. Based in Cambridge, he brings a rare blend of generative-model depth and hands-on deployment experience in both research and quant trading contexts.
9 years of coding experience
2 years of employment as a software developer
BSc. (Hons) Computer Science, BSc. (Hons) Computer Science at The University of ManchesterDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of CambridgeGithub contributions (5)
Dan-Andrei-Iliescu/ai-painting
Jan 2021 - Nov 2021
Contributions:30 commits, 4 pushes in 9 months
Dan-Andrei-Iliescu/visualizing-GAN-layers
Dec 2018 - Dec 2018
Contributions:9 commits, 7 pushes, 1 branch in 13 days
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