Core Organizers

Photo Biography
Keyi Wang 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 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 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 Shivan Mukherjee, (Task 2: FinRL-AlphaSeek)
Colin Lin Colin Lin, (Leader for Task 3 and Task 4: Open FinLLM Leaderboard)
Jaisal Patel 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 Sarah Huang, (Task 4: Open FinLLM Leaderboard DRR)
Charlie Shen 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 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-Ying Liu 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 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 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).