Andrew Ju
Mathematics of Computation @ UCLA
Quantitative finance, machine learning, and full-stack development.
Building tools that find signal in noise.
About
I'm a freshman at UCLA studying Mathematics of Computation, blending applied math with computer science. My work sits at the intersection of quantitative finance, machine learning, and software engineering.
I've built ML-driven stock prediction engines, published research on cancer genomics at Yale's Townsend Lab, and co-authored econometric studies at the Fudan-Stanford Institute. On the engineering side, I've shipped a campus iOS app to the App Store, built Chrome extensions that reverse-engineer AI chatbot DOMs, and designed automated market screeners that analyze 4,300+ equities daily.
I care about building things that work—tools that find edge, systems that scale, and research that matters.
Experience
Shanghai Jiyu Fund Sales Co., Ltd.
Financial Product Development Intern
August 2025
Shanghai, China
- Migrated backend website components to frontend interface, reducing page load time and improving user access to fund product information.
- Performed quantitative analysis of market data using Python to back test and validate trading model assumptions across multiple asset classes.
- Automated client onboarding content by building web scraping pipelines to generate AI-driven introductory videos, streamlining the sales workflow.
One Step Ahead Education Consulting
Admissions Counselor Intern
June 2025 – August 2025
Shanghai, China
- Mentored 10+ Chinese students through the U.S. boarding school application process, providing individualized guidance on school selection and essays.
- Conducted mock interview sessions and developed structured feedback frameworks, improving student confidence and interview performance.
AdaptiConnect
Co-Founder & Leader
June 2023 – September 2024
- Co-founded an application leveraging machine learning models to facilitate real-time communication for hearing-impaired individuals.
- Managed full product development cycle from concept through prototype, including website development, user interviews, and community outreach.
- Recruited and onboarded two new members, expanding technical capacity and accelerating development.
Research & Publications
Fudan-Stanford Institute for China Financial Technology and Risk Analytics
January 2023 – January 2025Research Assistant — Shanghai, China
Collaborated with Professor Qingfu Liu on econometric analysis examining the impact of digital transformation on employment trends in China’s securities industry.
Bridging the Gap: Digital Transformation and Talent Flow in China’s Securities Market — 36th AsianFA Annual Conference
Townsend Lab, Yale School of Public Health
June 2024 – August 2024Summer Intern — New Haven, CT
Conducted statistical analysis to identify driver gene mutations across stages of thyroid cancer progression using genomic datasets.
Deconvolving mutation and selection reveals drivers of stages of thyroid cancer — AACR Annual Meeting 2025
Heterogenous Association Between Mortality and Environmental Factors
September 2022 – March 2024Independent Researcher
Examined the relationship between environmental conditions and public health outcomes using correlation analysis and linear regression on population level data.
Published in Science Journal of Public Health
View publicationThe Classification of Music Genre through Vector Clustering Models
June 2024 – November 2024Independent Researcher
Trained a machine learning model to vectorize audio features and cluster songs, identifying quantitative patterns of similarity across 10 music genres.
Projects
ACM at UCLA — Tech Fellow
Campus-exclusive iOS app for UCLA students to post, discover, and join meetup plans with real-time group messaging. Shipped to the App Store.
Daily pipeline screening 4,300+ US equities through 10 signal families with regime-aware composite scoring. Self-improving via Bayesian optimization and GradientBoosting.
ML ensemble (Gradient Boosting, Random Forest, XGBoost) predicting daily stock price direction across 12 data source categories including FRED macro, FinBERT sentiment, and fundamental valuations.
Chrome extension that sends prompts to multiple AI chatbots simultaneously with an automated "Swap & Debate" pipeline that cycles responses through competing models.
Skills
Languages
ML & Data
Web & Mobile
Other
Contact
Let's connect.
I'm always open to interesting conversations and opportunities.
© 2026 Andrew Ju