Event Type: One-day Workshop with Invited Lectures + Discussions

Organizers: [Workshop co-organized by NYU Shanghai & Feishu China] Mathieu Lauriere, Shuyang Ling, Luis Seco, Ivy Wang

Workshop: Optimization, Control and AI – Building Bridges

We are excited to announce a one-day workshop taking place on November 23, 2025, bringing together leading researchers at the intersection of mathematics and artificial intelligence.

This event will explore how mathematics can help us understand, analyze, and improve AI systems — and how AI can serve as a powerful tool for mathematical discovery. Participants can expect ~10 invited lectures complemented by discussions, Q&A, and opportunities for exchange of ideas.

Themes & Scope

• Mathematical foundations of machine learning and deep learning

• Optimization for large-scale learning

• Probabilistic, statistical, and information-theoretic approaches

• Applications of AI in mathematical discovery and problem-solving

Speakers

• Dr. Alex Shestopaloff (Queen Mary University of London)
• Dr. Dante Kalise (Imperial College London)
• Dr. Domènec Ruiz i Balet (Paris Dauphine-PSL University)
• Dr. Barinder Banwait — Boston University/ MIT
• Prof. Xiao Li — CUHK-Shenzhen
• Prof. Zhouhan Lin — SJTU, Shanghai
• Prof. Hancheng Min — SJTU, Shanghai
• Prof. Bin Shi — SIMIS, Shanghai
• Prof. Tianyu Wang — Fudan University, Shanghai
• Dr. Jacob Carruth — Princeton University

Attendees

• George Nigmatulin — University of Oxford
• Jose Antonio Lucas-Manchon — Universidad Autónoma de Madrid (UAM) / Instituto de Ciencias Matemáticas (ICMAT)
• Andres Lain-Sanclemente — Universidad Autónoma de Madrid (UAM) / Instituto de Ciencias Matemáticas (ICMAT)
• Miguel Santos Pascual — Universidad Autónoma de Madrid (UAM) / Instituto de Ciencias Matemáticas (ICMAT)
• Mario Chacón-Falcón — Universidad Autónoma de Madrid (UAM) / Instituto de Ciencias Matemáticas (ICMAT)
• Pablo Garcia Arce — Universidad Autónoma de Madrid (UAM) / Instituto de Ciencias Matemáticas (ICMAT)
• Daniel Corrales — Universidad Autónoma de Madrid (UAM) / Instituto de Ciencias Matemáticas (ICMAT)
• Artem Buzin — Moscow Institute of Physics and Technology State University
• Lucas Machado Moschen — Imperial College London
• Frederik Johannes Kelbe — Imperial College London
• Konstantin Dudarev — Technical University of Munich (TUM)
• Sofia Pawlowski — Technical University of Munich (TUM)
• Jingfeng Xiao, Columbia University
• Jiaqi Lai, RiskLab, University of Toronto
• Xinze Li, University of Toronto
• Yichi Zhang, Oxford University

Audience & Impact

The workshop is designed for researchers, students, and early-career scientists across mathematics, computer science, and related fields. It offers a unique platform to foster collaborations, spark dialogue, and highlight emerging opportunities in this rapidly evolving area.

Location

📍 NYU Shanghai, Qiantan Campus

Pudong, Yangsi West Road No. 567, Shanghai, China