Work Experience


10/2019 - Current: Research Scientist (Machine Learning)

Facebook - Search team

06 - 09/2018: Software Engineer Intern

Detect misinformation in public posts.

Amazon Web Services - Redshift

06 - 09/2017: Software Engineer Intern

Implement a new replication scheme in Redshift storage engine.

Amazon Web Services - Redshift

06 - 09/2016: Software Engineer Intern

Built an internal tool to automate and strengthen the software release management of Redshift. Now, it is serving the team of several dozen developers and being developed to provide more functionalities.

University of California, Riverside

09/2014 - current: Research Assistant

Latest Projects:

  • Query by Documents on Top of a Search Engine
    • Use documents to query for relevant ones on top of a black box search engine.
  • Targeted Solicitation of Product Reviews
    • Study and propose customer review solicitation methods that lead to high-quality review profiles.
  • Ontology- and Sentiment-aware Review Summarization
    • Summarizing online reviews of doctors by leveraging a domain hierarchy of medical concepts and by accounting for different sentiment levels.
    • Tools and Techniques: medical concept extraction from text, sentiment analysis (using sentiment dictionaryor distributed representation of text), integer linear programming.

Smolab, Hanoi, Vietnam

01 - 07/2014: Data Analyst

Build a personalized ranking and recommendation of nearby venues for a local search mobile app.


Ph.D., M.Sc. in Computer Science
09/2014 - 09/2019

University Of California, Riverside
Advisor: Dr. Vagelis Hristidis

B.Sc. in Computer Science
08/2007 - 06/2012

Hanoi University of Science and Technology, Vietnam


  1. Nhat X.T. Le, A.B. Siddique, Fuad Jamour, Samet Oymak, and Vagelis Hristidis Predictable and Adaptive Goal-oriented DialogPolicy Generation, IEEE International Conference on Semantic Computing, (ICSC '21) (Best Student Paper)
  2. Nhat X.T. Le, Matthew Wiley, Antonio Loza, Vagelis Hristidis, Robert El-Kareh. Prediction of Medical Concepts in Electronic Health Records: Similar Patient Analysis, JMIR Medical Informatics 8 (7), e16008, 2020.
  3. Nhat X.T. Le, Ryan Rivas, James Flegal, Vagelis Hristidis. Decrease Product Rating Uncertainty Through Focused Reviews Solicitation, International Journal of Semantic Computing (IJSC) 13(4), 2019
  4. Nhat X.T. Le, Neal Young and Vagelis Hristidis. Unsupervised Ontology- and Sentiment-aware Review, 20th International Conference on Web Information Systems Engineering (WISE), 2019 (acceptance rate 24.6%)
  5. Nhat X.T. Le, Ryan Rivas, James M. Flegal and Vagelis Hristidis. Targeted solicitation of product reviews , In the 13th IEEE International Conference on Semantic Computing, IEEE, 2019 (acceptance rate 24.8%)
  6. Ryan Rivas, Niloofar Montazeri, Nhat X.T. Le, Vagelis Hristidis. Automatic Classification of Online Doctor Reviews, Journal of Medical Internet Research (JMIR), 2018
  7. Nhat X.T. Le, Vagelis Hristidis, and Neal Young. Ontology-and sentiment-aware review summarization , In Data Engineering (ICDE), 2017 IEEE 33rd International Conference on, pages 171–174 (poster). IEEE, 2017
  8. Van Nguyen, Nhat T.X. Le, Ikki Fujiwara, and Michihiro Koibuchi. Distributed shortcut networks: Layout-aware low-degree topologies exploiting small-world effect , In 42nd International Conference on Parallel Processing (ICPP’13), pages 572–581, Lyon, France, October 2013
  9. Nhat T.X. Le and Van K. Nguyen. Interconnection networks with efficient custom routing, exploiting small-world effect , In The 10th IEEE RIVF International Conference on Computing and Communication Technologies (RIVF-2013), November 2013
  10. N.T. Truong, V.K. Nguyen, Nhat T.X. Le, I. Fujiwara, F. Chaix, and M. Koibuchi. Layout-aware expandable low-degree topology , In 20th IEEE International Conference on Parallel and Distributed Systems (ICPADS), pages 462–470, Dec 2014


Some photos of my beautiful Vietnam