Summary
Frank Huang is a computer science student at the University of Michigan with a minor in statistics and business, bringing eight years of practical experience across trading, cybersecurity, and data science roles. Currently a Quant Trading Analyst Intern at Chicago Trading Company, he combines quantitative thinking with software engineering to build data-driven trading tools. He co-founded and led a 40-person student coding club that produced projects like a conversational AI chatbot using Levenshtein-distance matching and a membership management portal, demonstrating initiative in product-focused collaboration. Past internships at BlackEdge Capital, NSF (secure mobile data logging), Deloitte, and Ford highlight a consistent thread of applied research and security-minded engineering. Comfortable translating research findings for non-technical audiences, he has hands-on experience running experiments, programmatic analysis, and prototyping in Python and SQL. Based in Ann Arbor, he’s driven to leverage technology for real-world impact and frequently reaches out to industry partners to bridge academia and practice.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Michigan
Minor, Business, Minor, Business at University of Michigan - Stephen M. Ross School of Business
High School Diploma, High School Diploma at Troy High School
Chinese, English, Spanish