Organizers

Core Organizers

Photo	Biography
	Keyi Wang, (Leader) master at Northwestern University, bachelor at Columbia University. Organizer of FinRL Contest 2023 and FinRL Contest 2024 at ACM ICAIF conferences, and Regulations Challenge at COLING 2025. Interested in machine learning and financial engineering. Research assistant at GenAI Research on Open Finance at Columbia University.
	Mostapha Benhenda, (Task 1: FinRL-DeepSeek) PhD, Sorbonne Paris North University. Current interests include reinforcement learning, large language models and their applications to computational finance and automated trading. Core team member of AI4Finance Foundation.
	Arnav Grover, (Task 2: FinRL-AlphaSeek) Bachelor’s in Computer Science @ Purdue University. Researching at the intersection of responsible AI governance, alignment, and quantitative finance. Committed to developing AI systems that are ethically robust, transparent, and beneficial to society.
	Shivan Mukherjee, (Task 2: FinRL-AlphaSeek) Bachelor’s in Computer Engineering @ Columbia University, Master’s in Computer Science at Columbia University. 2x Intern at Apple doing Wireless Firmware for 5G. Researching High-Performance machine learning models for hardware accelerators.
	Colin Lin, (Leader for Task 3 and Task 4: Open FinLLM Leaderboard) Master’s student in Electrical and Computer Engineering at Carnegie Mellon University, Bachelor of Science in Computer Science from Rensselaer Polytechnic Institute. 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.
	Jaisal Patel, (Task 3: Open FinLLM Leaderboard Models ReFT) undergraduate at Rensselaer Polytechnic Institute. Interested in quantitative finance, venture capital, and the intersection of AI and finance. Program committee member for the International Workshop on Multimodal Financial Foundation Models (MFFMs) at ICAIF 2024. Only student award recipient at GitHub Universe 2023.
	Sarah Huang, (Task 4: Open FinLLM Leaderboard DRR) master’s graduate from Columbia University and Bachelor’s from Barnard College. Research Assistant at the Open Finance Lab at Columbia University, focusing on AI applications in risk management and compliance. Passionate about AI-driven solutions in enterprise risk management and finance.
	Charlie Shen, (Task 4: Open FinLLM Leaderboard DRR) Bachelor’s student at Columbia University. Organizer of the Regulations Challenge at COLING 2025. Passionate about AI in finance and machine learning. Research Assistant at GenAI Research on Open Finance at Columbia University and a member of The FinAI.
	Jin Bo, (Task 4: Open FinLLM Leaderboard DRR) Undergraduate at Rensselaer Polytechnic Institute. Research Assistant at Tensor and Deep Learning Lab associated with Columbia University. Current interests with AI4Fiance and AI tutor.

Advisors

Photo	Biography
	Xiao-Yang Liu, Ph.D., Columbia University, faculty at Rensselaer Polytechnic Institute. His research interests include deep reinforcement learning, big data, and high-performance computing. He created several open-source projects, such as FinRL, ElegantRL, 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.
	Kairong Xiao, Roger F. Murray Associate Professor of Business at Columbia Business School. His research interests span financial intermediation, corporate finance, monetary economics, industrial organization, and political economy. His research papers have been published in top finance and economics journals, including the Journal of Finance, the Review of Financial Studies, the Journal of Financial Economics, Econometrica, the Journal of Monetary Economics, and Management Science. He received numerous awards for research excellence, including the Review of Financial Studies Rising Scholar Award, the Journal of Finance Dimensional Fund Advisors Prize for Distinguished Paper, and the Review of Financial Studies Best Paper Award runner-up.
	Jimin Huang, the founder of The Fin AI working group, an initiative dedicated to advancing open science, tooling, and model development for the financial services industry with a focus on responsible innovation. The Fin AI is now an associated member of FINOS and a collaborator with the NVIDIA AI Technology Center (NVAITC) through Hugging Face. Jimin is also an associated member of The National Centre for Text Mining (NaCTeM). His research spans natural language processing and computational finance, with a particular emphasis on financial large language models (LLMs) and open-source contributions. He is the organizer of the FinLLM Challenge at FinNLP-AgentScen @ IJCAI-2024 and serves as the general chair for The Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal).