CV
The lastest version of my CV can be found in here CV.
Here is a brief information
Education
- Doctor of Philosophy in Applied Mathematics, Tulane University, 2025 (expected)
- Bachelor in Mathematics Teacher Education, Vietnam National University - University of Education, 2017
Work experience
- 2019 - Present: PhD Candidate/ Graduate Teaching Associate/ Graduate Research Assistant
- Tulane University - Department of Mathematics
- Duties includes:
- Working at the Stochastic Lab of Professor Scott A. McKinley as a research assistant. Conducted research in several fields, including particle tracking, changepoint detection algorithms, Bayesian statistics, model selections, and Mixtures of models. Solved various mathematical and statistical problems using Python, R, Matlab, and LaTeX.
- Developed course materials and provided instruction both in and out of Instructure’s Canvas LMS for various subjects, including Statistics for Scientists and Probability and Statistics. Integrated external tools like WebAssign and MyLab into Canvas LMS.
- Supervisor: Scott A. McKinley
- 2017 - 2019: Lecturer
- Vietnam National University - University of Science
- Duties included:
- Developed course materials for subjects including Statistics and Probability, Calculus 1,2,3, and Linear Algebra.
- Conducted data analysis to interpret research on the geography of climate change adaptation using statistical structural models.
- Supervisor: Quoc Anh Trinh
Skills
- Programming: Python, R, LaTex, Maple, SQL, MatLab, Microsoft Office.
- Languages: Strong reading, writing and speaking competencies for English and Vietnamese.
Publications
Talks
Inferring and interpreting heterogeneous data using dendrograms
Presentation at Computational and Applied Math Seminar at the Department of Mathematics, Tulane University., New Orleans LA, USA
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models
Conference proceedings talk at Joint Statistical Meetings, Portland, Oregon
A new changepoint algorithm detecting multiple change-in-speed
Presentation at NSF-Simons Southeast Center for Mathematics and Biology (SCMB), online
Mixture Model and the applications
Presentation at Graduate Colloquium at the Department of Mathematics, Tulane University, New Orleans LA, USA
Strong identifiability and parameter learning in regression with heterogeneous response
Conference proceedings talk at 13th International Conference on Bayesian Nonparametrics, Puerto Varas, Chile