Ms. Nguyen Quynh Chi is an established educator and IT professional with extensive experience in Machine Learning, Data Mining, Data Warehouse, and algorithm analysis and design. She combines deep academic knowledge with practical experience gained from roles in software research and quality management systems.
Education and Distinctions
Ms. Nguyen’s educational background includes significant work in the United States and high honors in Vietnam:
- She was a Ph.D. Candidate in Computer Science (2005–2008) at the University of California, Davis (UC Davis), USA, specializing in Machine Learning and Data mining.
- She earned her M.Sc. in Computer Science from UC Davis, USA (2002–2004). Her Master’s thesis focused on “Computational Biology using Graphical Models”.
- She graduated with a B.Sc. summa cum laude (top 3) in Information Technology from Hanoi University of Technology, Vietnam (1994–1999).
Ms. Nguyen was the recipient of the First prize in the national mathematical Olympiad in Vietnam (1991). She also received the Vietnamese Government Fellowship to pursue her Master’s degree in America (2002–2004).
Teaching and Research Expertise
Ms. Nguyen has extensive experience teaching at both the university and high-tech center levels:
- She is a Faculty member of the Information Technology Department at the Posts and Telecommunications Institute of Technology (PTIT), Hanoi, Vietnam (1999–present).
- Courses taught include “Database I & II”, “Software Requirement”, “Software Project Management”, and “Data warehouse and Data mining”.
- During her time at UC Davis, she served as a Research Assistant (5 quarters) and Teaching Assistant (4 quarters), instructing graduate-level courses like “Advanced topics on Biostatistics”.
Industry and Research Focus
Her current research interests include applying Machine Learning and Data mining techniques to wireless networks (such as mobility prediction and data aggregation in sensor networks). She also focuses on the computational aspects of machine learning applied to bioinformatics, specifically relating to gene family analysis using graphical models, kernels, Support Vector Machines (SVM), and neural networks.
Industry Highlights:
- Academic Program Leadership: She serves as the Director of Academic Program at Funix (5/2019–present).
- Software Research: Ms. Nguyen worked as a part-time Software Researcher at FSOFT (4/2015–7/2016), contributing to projects involving keywords extraction, knowledge graph, face recognition, and interesting information extraction from program watching patterns for a US Direct TV customer.
- Process Improvement: She was an officer in the Delivery Management Office, FSOFT (12/2010–4/2015), focusing on reviewing, creating, and improving processes and the Quality Management System (QMS).
- Data Consultation: She consulted for DTT company on the project to build a Data warehouse for the General Statistics Office (GSO).
Ms. Nguyen has a substantial publication record, with works featured in various journals and proceedings, covering topics such as PM2.5 concentration prediction, taxi transportation flow prediction, data aggregation in wireless sensor networks, and kernel methods for gene function prediction.
