Resume
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Northeastern University
2019 - Present
PhD in Personal Health Informatics
Advisor: Prof. Stephen Intille
Columbia University
2016 - 2018
M.A. in Statistics
University of Michigan
2012 - 2014
B.A. in Psychology
Experience
Graduate Researcher and Teaching Assistant
Group: mHealth Research Group led by Prof. Stephen Intille
Dept: Khoury College of Computer Science and Bouve College of Health Sciences
Univ: Northeastern University
2019 - Present
Boston, MA
Data Scientist
Company: Learnable AI
2017 - 2019
Boston, MA
Survey analyst
Company: Asia EAP
2014 - 2015
Shanghai, China
Skills
Programming Languages: Python, R, Java, SQL
Machine Learning Frameworks: PyTorch, Scikit-learn
Software: RStudio, Android Studio, SPSS, Visual Studio Code, Cursor, Qualtrics, Figma
Statistical modeling Skills: Univariate and multivariate statistics, multilevel modeling, supervised and unsupervised machine learning, deep learning, time-series analysis, natural language processing, Bayesian statistics, uncertainty-aware decision making
UX Research Methods: Survey design, experience sampling (diary studies), mobile sensing, experimental design, interview, focus group, data visualization, scientific writing, and communication
AI tools: OpenAI API, LangChain, Hugging Face, Gemini, Claude, NotebookLM
Machine Learning Frameworks: PyTorch, Scikit-learn
Software: RStudio, Android Studio, SPSS, Visual Studio Code, Cursor, Qualtrics, Figma
Statistical modeling Skills: Univariate and multivariate statistics, multilevel modeling, supervised and unsupervised machine learning, deep learning, time-series analysis, natural language processing, Bayesian statistics, uncertainty-aware decision making
UX Research Methods: Survey design, experience sampling (diary studies), mobile sensing, experimental design, interview, focus group, data visualization, scientific writing, and communication
AI tools: OpenAI API, LangChain, Hugging Face, Gemini, Claude, NotebookLM
Open-source contribution
- MixWILD - an interactive program to conduct multi-level modeling on longitudinal data.
- OSM-Based POI Labeling Package - a Python package for automatically annotating GPS trajectories with semantic place labels using OpenStreetMap's hierarchical POI taxonomy.
Selected Awards
Distinguished Paper Award
2023
ACM UbiComp / ISWC 2023