Organizers

Core Organizers

Photo	Biography
	Colin Lin, (Leader) Research Assistant at SecureFinAI Lab, Columbia University. Master’s student in Electrical and Computer Engineering at Carnegie Mellon University, Bachelor of Science in Computer Science from Rensselaer Polytechnic Institute. Leading project: Evaluation and Benchmarking Suite for Financial LLMs and Agents. Lead organizer of the Open FinLLM Leaderboard initiative, driving the integration of regulatory reporting benchmarks including CDM, MOF and XBRL frameworks. Author of “Analyzing Cascading Outbreak of GameStop Event: A Practical Approach Using Network Analysis and Large Language Models” presented at ICAIF 2024. Contributor to AI4Finance open-source ecosystem with focus on reinforcement learning applications in financial LLM development.
	Keyi Wang, (Leader) Master’s at Northwestern University, Bachelor’s at Columbia University. Research Assistant at SecureFinAI Lab at Columbia University. Organizer of FinAI Contest 2025 at IEEE CSCloud, FinRL Contest 2025 at IEEE IDS, FinRL Contest 2024 and FinRL Contest 2023 at ACM ICAIF conferences, and Regulations Challenge at COLING 2025. Reviewer of ACM ICAIF conferences. Interested in machine learning and financial engineering.
	Jiechao Gao, Jiechao is currently a Postdoctoral Research Scientist at Stanford University. His research interests include machine learning, large-scale foundation models, interpretability, reinforcement learning, federated learning algorithms, and applications in distributed networks, cyber-physical systems, cloud computing, and financial environments. He has served as an Area Chair, Program Committee, and reviewer for leading conferences and journals such as NeurIPS, ICML, ICLR, KDD, AAAI, IJCAI, IEEE TNNLS, IEEE IoT Journal, etc. He has also actively contributed to community building, serving as Organizer of FinAI Contest 2025 at IEEE CSCloud, FinRL Contest 2025 at IEEE IDS, and FinRL Contests 2023–2024 at ACM ICAIF. In 2024 and 2025, he was recognized in the Stanford Elsevier Top 2% Scientist list.
	Yupeng Cao, current Ph.D. candidate in the Electrical and Computer Engineering Department at Stevens Institute of Technology. His research interests include Natural Language Processing (NLP), Multimodal, Trustworthy AI, and their application in the financial domain. He has several publications about multimodal, LLMs, and multi-agent in financial domains, including FinNLP workshop, ICAIF, ACL, and NeurIPS. He served as a PC member for the 9th FinNLP workshop and Session Chair @ACM ICAIF’24. He organized the Agent-Based Single Cryptocurrency Trading Challenge @COLING 2025. He also hosted the “TechFin” social event at NeurIPS 2024, with 100+ participants.

Advisors

Photo	Biography
	Xiao-Yang Liu, Ph.D., Director of SecureFinAI Lab, Columbia University. His research interests include deep reinforcement learning, financial applications, and quantum computing. He created several open-source projects, such as FinRL and FinGPT. He contributed chapters to a textbook on reinforcement learning for cyber-physical systems and a textbook on tensors for data processing. He serves as a PC member for NeurIPS, ICML, ICLR, AAAI, IJCAI, AISTATS, and ICAIF. He also served as a Session Chair for IJCAI 2019. He organized Financial Challenges in Large Language Models (FinLLM)@IJCAI 2024, FinRL Competition at ACM ICAIF 2023, the First/Second Workshop on Quantum Tensor Networks in Machine Learning (QTNML) at NeurIPS 2020/2021, IJCAI 2020 Workshop on Tensor Networks Representations in Machine Learning, and the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving.

Photo

Biography

Xiao-Yang Liu, Ph.D., Director of SecureFinAI Lab, Columbia University. His research interests include deep reinforcement learning, financial applications, and quantum computing. He created several open-source projects, such as FinRL and FinGPT. He contributed chapters to a textbook on reinforcement learning for cyber-physical systems and a textbook on tensors for data processing. He serves as a PC member for NeurIPS, ICML, ICLR, AAAI, IJCAI, AISTATS, and ICAIF. He also served as a Session Chair for IJCAI 2019. He organized Financial Challenges in Large Language Models (FinLLM)@IJCAI 2024, FinRL Competition at ACM ICAIF 2023, the First/Second Workshop on Quantum Tensor Networks in Machine Learning (QTNML) at NeurIPS 2020/2021, IJCAI 2020 Workshop on Tensor Networks Representations in Machine Learning, and the NeurIPS 2019 Workshop on Machine Learning for Autonomous Driving.