Summary
Haozhe Sun is a PhD researcher in AI and deep learning based in Paris with nine years of experience bridging academic research and industry impact. Trained at Télécom Paris and ENS Paris-Saclay (MVA), he has published at NeurIPS and IJCNN and built practical tools like OmniPrint and Meta-Album that have been reused in top-tier competitions and studies. His work focuses on neural network compression, few-shot and meta-learning, achieving substantial real-world gains (e.g., up to 84% reduction in size/FLOPs and major inference speedups for transformers). He has organized NeurIPS/ICML workshops and competitions, demonstrating a rare blend of technical depth and community leadership. Comfortable with both theory and production constraints, he seeks industry opportunities to translate efficient deep learning methods into deployable systems. Explore his publications and code at sunhaozhe.github.io and github.com/SunHaozhe for concrete implementations and benchmarks.
9 years of coding experience
1 year of employment as a software developer
Master 2, MVA (Mathematics, Computer vision, Machine learning), Master 2, MVA (Mathematics, Computer vision, Machine learning) at École normale supérieure Paris-Saclay
Engineer's degree, Data science, Computer science, Engineer's degree, Data science, Computer science at Télécom Paris
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Université Paris-Saclay
french (cefr c1, ets tfi), Japanese, english (ets toefl itp)