Hongming Liang (梁泓铭) is a graduate student in Quantitative Finance and Fintech at Peking University HSBC Business School (PHBS), where he is pursuing a Master in Quantitative Finance (2026-2029). He received a Bachelor in Mathematics and Economics from Renmin University of China (2022-2026).

His research interests include quantitative finance, machine learning, real estate, and foreclosure. His experience covers intraday ETF strategies, interday CTA strategies, machine-learning-based signal evaluation, and risk modeling for residential property auctions. His technical toolkit includes Python, SQL, Linux/CLI, Docker, Git, and Bash.