Years across research, teaching, and data-driven product work.
AI researcher, educator, and builder
Translating machine learning research into systems people can actually use.
I work across academia and industry at the intersection of AI, data science, NLP, trust systems, and cyber security. My background spans research, teaching, and data leadership in fintech, e-commerce, digital banking, and software.
Scopus-indexed publications as of March 2026.
Citations as of March 2026.
Degrees spanning computer science, law, and financial engineering.
About
A career shaped by both scholarship and shipping.
Public profiles describe me as a data science leader and lecturer with a PhD in Computer Science from Universite de Lorraine, experience leading teams in industry, and a sustained research record across AI, security, and collaborative systems.
I am especially interested in designing machine learning systems that do more than score well on a benchmark: they need to be explainable, trustworthy, and useful in operational settings.
2018
PhD, Computer Science
Universite de Lorraine, thesis completed at Inria Nancy Grand-Est.
2021
Master, Financial Engineering
WorldQuant University.
2013
Bachelor, Law
Hanoi Law University.
2009
Bachelor, Computer Science
Vietnam National University - Hanoi.
Experience
Operating at the boundary between research and product.
Current public role
Lecturer, Data Science and AI
British University Vietnam.
Industry leadership
Head of Data Science
Built and led data science work at Be Group.
Media and platforms
Head of Data
Drove data work at DatViet VAC.
Software delivery
Project Manager
Managed software projects at FPT Software.
Startup execution
Chief Data Officer
Supported several startups through senior data leadership roles.
Research foundations
PhD and postdoctoral research
Worked through Inria Nancy and related academic collaborations.
Research
Applied AI with a strong interest in trust, security, and decision quality.
Machine Learning Systems
Designing practical learning systems that can support real deployment instead of remaining purely experimental.
NLP & Intelligent Applications
Teaching and building applied AI, including natural language processing and data products with direct business value.
Cyber Security
Recurrent publication themes include intrusion detection, malware analysis, and machine learning explainability for security workflows.
Trust & Collaboration
Earlier research explored trust computation, collaborative systems, and online behavior in large-scale digital environments.
Selected Publications
A research track that moves from trust systems toward secure, explainable AI.
2026
CONFIDE: CONformal Free Inference for Distribution-Free Estimation in Causal Competing Risks
Read publication2026
FORTRESS-FL: Byzantine-robust and privacy-preserving federated orchestration for next-generation networks
Read publication2024
Intrusion Detection in Internet of Medical Things
View record2022
Using Machine Learning for Intrusion Detection Systems
View record2021
Improving the performance of the intrusion detection systems by the machine learning explainability
View record2019
The Influence of Trust Score on Cooperative Behavior
View recordNews & Updates
A place to share talks, milestones, publications, and public-facing work.
This section is meant for ongoing news. It can hold publication announcements, speaking engagements, awards, interviews, course launches, or anything else worth surfacing publicly.
Profiles