Research/Work experience

Applied Scientist | Jan 2021 - May 2023
VinBrain, Vietnam - website: https://vinbrain.net
- Developed AI models for medical diagnostics and anomaly detection.
- Developed domain adaptation techniques for robust and generalizable models.
- Implemented Human-in-the-loop pipeline for continuous data processing and model improvement.
AI Research Intern | Sep 2020 - Dec 2020
Vingroup BigData Institute, Vietnam - website: https://institute.vinbigdata.org/en/research
- Built models for Sentiment Analysis and Medical Tube Multi-label Classification.
- Completed training in seven courses: Linear Algebra, Probability & Statistics, AI Ethics, Machine Learning, Deep Learning, Computer Vision, NLP.
Data Scientist | Jan 2019 - April 2020
Viettel BigData Analytics Center, Vietnam - website: https://viettel.com.vn/en/
- Developed machine learning models in telecom domains.
- Conducted exploratory data analysis on large-scale datasets.

Research Interests

My research interest lies in the intersection of Anomaly Detection, Computer Vision, AI models continuously adaptable to changing data environments, and their applications to real-world domains such as healthcare and economics.

Tran Dinh Tien, et al. “Revisiting Reverse Distillation for Anomaly Detection.” IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Paper, Talk, Code, Slide

B.S. in Economics, Foreign Trade University (FTU), 2013-2017
- Key Courses:
  - Mathematics I (Linear Algebra, Calculus I): 10.0/10.0
  - Mathematics II (Calculus II): 9.9/10.0
  - Principles of Economics, Statistics: 8.6/10.0
Ha Tinh High School for Gifted Students, 2010-2013
- Major in Mathematics (Very Good Degree)