CV

The PDF version of CV

Research Interests

• Information Retrieval: Search and ranking, natural language processing for information retrieval, large language models (LLMs) for information retrieval.

• Natural Language Processing Applications: Automated fact-checking systems, retrieval-augmented generation (RAG), factuality in LLMs.

Education

• Ph.D in Computer Science and Engineering, University of Notre Dame
  • 2022 - Present
• B.S. in Computer Science & B.S. in Mathematics, Texas Christian University
  • 2017 - December 2021
  • Summa Cum Laude Graduate, Cumulative GPA: 4.0/4.0

Research Project

• April 2024 - Present: Factuality In The Wild & Retrieval-Augmented Generation Systems
• Aug 2022 - April 2024: Knowledge Enhancement for Text Using Expansion Techniques

Industry experience

• Sept 2024 - Present: Applied Scientist Intern
  • Amazon Inc, Palo Alto, CA
  • Mentor: Dr. Tianyi Liu, Dr. Zhuofeng Wu
• Aug 2020 - Feb 2021: Data Science Intern / Research Scientist Intern (Natural Language Processing)
  • Knorex Pte. Ltd
  • Supervisor: Mr. Phu Le
• Summer 2020: Undergraduate Research
  • Cornell University - REU/SPUR Program
  • Supervisor: Dr. Andy Borum
• June 2019 - August 2019: Machine Learning Intern
  • FPT Software
  • Supervisor: Mr. Hoang Nguyen

Publications

Papers

• Embedding Mental Health Discourse for Community Recommendation.
  H.Dang, B. Nguyen*, N. Ziems, M. Jiang.
  4th Workshop on Computational Approaches to Discourse, joint with The 61st Annual Meeting of the Association for Computational Linguistics, Toronto, Canada, 2023.

• A Quantitative Review on Language Model Efficiency Research.
  M. Jiang, H. Dang, L. Tong.
  Large Language Model Symposium in conjunction with International Joint Conference on Artificial Intelligence (IJCAI), 2023.

• StTime-Net: Combining both Historical and Textual Factos for Stock Movement Prediction
  H. Dang, M. Nguyen, B. Mei
  International Conference on Artificial Neural Networks (ICANN 2022), 273-284
  
• Housing price prediction via improved machine learning techniques
  Q. Truong, M. Nguyen, H. Dang, B. Mei
  Precedia Computer Science 174, 433-442
  

Posters/Presentations

• Wound Healing Modeling Using Partial Differential Equations And Deep Learning
  H. Dang
  Presentation at National Collegiate Research Conference, Harvard University (NCRC 2022)
  

• Wound Healing Modeling Using Partial Differential Equations And Deep Learning
  H. Dang
  Student Talk at the Sixteenth Annual Texas Undergraduate Mathematics Conference (TUMC 2021)
  

• Modeling Wound Healing Using Deep Learning
  H. Dang
  Poster Presentation at the 3rd Annual Meeting of the SIAM Texas-Louisiana Section. (2020)
  

• Bifurcations of an elastic ring with interacting particles
  H. Dang, L. Mantilla, S. Zhang, A. Borum
  Student Talk/Poster Session Presentation at the Canadian Undergraduate Mathematics Conference (CUMC 2020)
  

Preprints

• Wound Healing Modeling Using Partial Differential Equations And Deep Learning
  H. Dang
  [arXiv]