cv | Howell Lu

Full Name

Howell Lu

2025
Post-Master’s Graduate Coursework

New York University
- Expected Coursework : Probability (Measure-Theoretic), Statistical Inference
- Selected Coursework : Multi-Level Modelling and Consulting Practicum
2023
MS in Data Science

New York University
- Selected Coursework : Optimization and Computational Linear Algebra, Advanced Python for Data Science, Causal Inference, Machine Learning, Introduction to Computer Vision, Text as Data, Big Data, Digital Currencies
2021
MA in Applied Mathematics

York University
- Selected Coursework : Stochastic Processes, Mathematical Statistics, Differential Equations, Regression Analysis

2025
Research Assistant

New York University
- Researched under Dr. Hill to investigate and evaluate the feasibility, implications and limitations of GPU-accelerated BART (Bayesian Additive Regression Trees) and other parallel BART engines.
- Researched under Dr. Scott to analyze and investigate the applicability of CFDA (Categorical Functional Data Analysis) on messy sequential data.
2023-2025
Data Analyst

Mega ICBC
- Architected terabyte-scale ETL pipelines and automated data interrogation frameworks using Python and MS SQL Server, engineering a parallel compliance workflow to execute end-to-end testing for real-time SWIFT and Fedwire integrations.
- Developed statistical validation frameworks utilizing Chi-Squared, Mann-Whitney U, and Kolmogorov- Smirnov tests to quantify distributional shifts between legacy SWIFT MT and converted MX formats, successfully identifying critical data anomalies.
- Served as Technical Lead for the ISO 20022 migration, translating complex data discrepancies into actionable insights for senior management and external vendors to drive workflow optimization.
2022
Teaching Assistant

New York University
- Designed assessments, solutions, rubrics and lab materials using LaTeX, conducted lab lectures and held office hours for two weekly lab sections.