Xinyang Ding Email & Phone Number

As a Research Assistant at Duke University Digital Asset Research & Engineering Collaborative, I conduct cutting-edge research and analysis on blockchain, machine learning, and asset pricing. I initiated and developed a novel pricing model for non-fungible tokens (NFTs), and extracted and analyzed over 4000 distinct NFT datasets from Dune. I have also gained valuable industry experience from working as a Summer Technology Analyst at The Depository Trust & Clearing Corporation (DTCC) and a Summer Intern at PricewaterhouseCoopers (PwC). At DTCC, I led a generative AI code evaluation project and crafted a bespoke code evaluation framework for the firm, presenting my findings to over 100 professionals. At PwC, I directed a sanction compliance project for a major financial holding group, developing a quantitative risk assessment model and implementing tailored compliance policies for high-risk client subsidiaries.I am passionate about exploring the intersection of finance and technology, and applying my skills and knowledge to solve real-world problems. I hold a Bachelor of Arts degree in Economics from Boston College, and I am currently pursuing a Master of Engineering degree in Financial Technology from Duke University. I am proficient in IBM SPSS Statistics, Pandas, and Stata, and I have co-founded a business in the past. I am motivated by innovation, collaboration, and impact, and I aspire to become a leader and a contributor in the FinTech field.