Truong Dang (2DT)

M.Eng. in CS @ Oregon State University

I am a Master of Engineering in Computer Science student at Oregon State University. I earned a Bachelor’s degree in Computer Science at New Jersey Institute of Technology.

I specialize in Infrastructure, Fullstack Development, and Performance Optimization. My goal is to leverage my background in systems and ML/AI to build robust, scalable software. My professional experience includes:

API Hub @ Venera AI (2026)
Automation & CI/CD @ Crane (Summer 2025)
Data Visualization & Analytics @ Merck (Spring2025)
Fullstack & Site Optimization @ Justworks (Summer 2024) — Focused on payroll, tax computation, and performance
Embedded Systems @ Westlock (Summer 2023) — Engineered anomaly detection for vibration applications

I enjoy doing research on the side. My academic roots are in Math and Risk Analysis, having researched under Dr. Marvin Nakayama at NJIT.

latest posts

Mar 26, 2025	a post with plotly.js
Dec 04, 2024	a post with image galleries
May 14, 2024	Google Gemini updates: Flash 1.5, Gemma 2 and Project Astra

selected publications

WSC
Computing Estimators of a Quantile and Conditional Value-at-Risk

Sha Cao, Truong Dang, James M. Calvin, and 1 more author

In 2025 Winter Simulation Conference (WSC), Dec 2025

Abs Bib PDF

We examine various sorting and selection methods for computing quantile and the conditional value-at-risk, two of the most commonly used risk measures in risk management scenarios. We study the situation where simulation data is already pre-generated, and perform timing experiments on calculating risk measures on the existing datasets. Through numerical experiments, approximate analyses, and existing theoretical results, we find that selection generally outperforms sorting, but which selection strategy runs fastest depends on several factors.
@inproceedings{truong2025wsc, title = {Computing Estimators of a Quantile and Conditional Value-at-Risk}, author = {Cao, Sha and Dang, Truong and Calvin, James M. and Nakayama, Marvin K.}, booktitle = {2025 Winter Simulation Conference (WSC)}, year = {2025}, month = dec, publisher = {IEEE}, }