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Ph.D. Candidate @ Northeastern University | Personal Health Informatics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I conduct interdisciplinary research in human-computer interaction, artificial intelligence, and health. My research interests sit in developing just-in-time adaptive assessment system that collects real-time wearable sensor data and in-situ mental states survey data in a hope to capture meaningful variation and identify critical moments to support intervention delivery.
Northeastern University
Doctor of Philosophy - PhD, Personal Health Informatics
January 1, 2019 – January 1, 2025
Columbia University
Master of Arts (M.A.), Statistics
January 1, 2016 – January 1, 2017
University of Michigan
Bachelor's degree, Psychology and Applied Statistics
January 1, 2012 – January 1, 2014
Renmin University of China
Bachelor's degree (Transfer to University of Michigan), Applied Psychology
January 1, 2010 – January 1, 2012
Northeastern University
Ph.D. student
September 1, 2019 – Present
Greater Boston Area · On-site
Learnable, Inc.
Data Scientist
October 1, 2017 – February 1, 2019
Boston, Massachusetts, United States · On-site
AsiaEAP Consulting Co.
Survey Data Analyst
June 1, 2015 – August 1, 2016
Shanghai, China · On-site
Databases and SQL for Data Science
Coursera
June 24, 2026 – Present
Passed CFA level I
CFA Institute
June 24, 2026 – Present
UX Foundations: Research
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse academic background (Psychology, Statistics, Personal Health Informatics) and experience across different sectors (academia, tech startup, consulting) suggest adaptability and a broad perspective. Their involvement in user-focused projects (GUI applications, LLM chatbot) indicates an interest in practical, impactful solutions. The blend of research and industry experience could contribute to a culture valuing both innovation and practical application. However, the lack of explicit project diversity outside of academic/research settings and limited information on team-based projects makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's experience in leading chatbot development, conducting usability testing, and group interviews suggests strong communication, collaboration, and user-centric design skills. Their Ph.D. research indicates a capacity for independent problem-solving and long-term project commitment. However, without specific psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is limited.