Xuanming Cui

Xuanming Cui is a researcher currently working at Everlyn since October 2024 and has previously held positions such as adjunct faculty at Fordham University and quantitative developer at Pretium. At Fordham University, Xuanming taught Discrete Structures and developed course materials. As a graduate student researcher in the Computational Neuroscience Lab at Fordham University, Xuanming explored innovative approaches in object recognition and few-shot learning. Experience includes a data analyst role at Haier, where Xuanming investigated fraud detection algorithms, and assistant fundamental analyst at Golden Nest Capital Management, focusing on financial analysis and process automation. Xuanming has also worked at the Fordham Gabelli School of Business on a financial web application, employing skills in Python and data integration. Xuanming holds multiple degrees, including a Doctor of Philosophy in Computer Science from the University of Central Florida and a Bachelor of Science in Mathematics and Computer Science from St. Lawrence University.