Truong Dang (2DT)

MS in CS @ Oregon State University

I am a Computer Science Master’s student at Oregon State University. I received my 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:

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

On my side, I conduct research on Trustworthy AI, with an emphasis on improving the safety and efficiency of LLMs and agentic systems (Reliable and personalized GUI agents, Training stability).

My academic roots are in Risk Analysis and Simulation, having researched under Dr. Marvin Nakayama at NJIT.

news

Jan 15, 2016	A simple inline announcement with Markdown emoji!
Nov 07, 2015	A long announcement with details
Oct 22, 2015	A simple inline announcement.

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}, }