CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Scarce Societal Resource Allocation and the Price of (Local) Fairness

Quan Nguyen, Sanmay Das, and Roman Garnett. Scarce Societal Resource Allocation and the Price of (Local) Fairness. AAAI Conference on Artificial Intelligence, 2021.

Nonmyopic Multifidelity Active Search

Quan Nguyen, Arghavan Modiri, and Roman Garnett. Nonmyopic Multifidelity Active Search. International Conference on Machine Learning (ICML), 2021.

Efficient Discovery of Visible Light-Activated Azoarene Photoswitches With Long Half-Lives Using Active Search

Fatemah Mukadum, Quan Nguyen, Daniel Adrion, Gabriel Appleby, Rui Chen, Haley Dang, Remco Chang, Roman Garnett, Steven Lopez. Efficient Discovery of Visible Light-Activated Azoarene Photoswitches With Long Half-Lives Using Active Search. Journal of Chemical Information and Modeling, 2021.

Guided Data Discovery in Interactive Visualizations via Active Search

Shayan Monadjemi, Sunwoo Ha, Quan Nguyen, Henry Chai, Roman Garnett, and Alvitta Ottley. Active Visual Analytics: Assisted Data Discovery in Interactive Visualizations via Active Search. IEEE Visualization Conference (VIS), 2020.

Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery

Quan Nguyen and Roman Garnett. Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

Local Bayesian optimization via maximizing probability of descent

Quan Nguyen, Kaiwen Wu, Jacob R. Gardner, and Roman Garnett. Local Bayesian optimization via maximizing probability of descent. Advances in Neural Information Processing Systems (NeurIPS), 2022.

Simulating high-entropy alloys at finite temperatures: An uncertainty-based approach

Andrew Novick, Quan Nguyen, Roman Garnett, Eric Toberer, and Vladan Stevanović. Simulating high-entropy alloys at finite temperatures: An uncertainty-based approach. Phys. Rev. Materials 7, 063801, 2023.

Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning

Andrew Novick, Diana Cai, Quan Nguyen, Roman Garnett, Ryan P Adams, Eric Toberer. Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning. Materials Horizons, 2024.

Talks

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, California

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams