Sign in

Quantitative UX researcher

Buffalo, New York, United States
November 07, 2019

Contact this candidate



Email: Cell: (716) 445 – 9898


Ph.D. Human Factors Engineering – University at Buffalo, The State University of New York 2019 M.A. Applied Psychology – Zhejiang University 2014 B.A. Psychology – Jiangnan University 2011


UX Research Methods

Observation; Video Coding; Prototyping; Surveys and Questionnaire Design; Information Architecture; Cognitive Walkthrough; Think Aloud Method; Heuristic Analysis; A/B Testing; Eyetracking Testing; Customer Segmentation; Experimentation

Statistics and Machine Learning Skills

T-test; ANOVA; Multivariate Analysis; Linear Mixed Models; Linear Regression; Logistic Regression; Neural Network; Principal Component Analysis; Clustering; Anomaly Detection; Tree-based Modeling Software

Python, MATLAB, SPSS, SAS, SQL, Minitab, R, Tableau, Adobe Photoshop Data Science Certifications

Machine Learning by Stanford University on Coursera 2019 Introduction to Data Science in Python by University of Michigan on Coursera 2017 INTERNSHIP EXPERIENCE E

National Center for Human Factors in Healthcare, MedStar Health, Washington D.C. Quantitative UX Researcher Intern May-Aug 2017

Field observation and video coding about physicians’ medication ordering behavior; Text mining based on patients’ reviews; Statistical analysis using ANOVA and Chi-Square test; Built predictive model by implementing linear regression, logistic regression and random forest; Used Markov Chain to represent and compare search efficiency between EHR systems; Data visualization using R, MATLAB and SAS RESEARCH PROJECTS S

The Formal Human Systems Laboratory

Department of Industrial and Systems Engineering, University at Buffalo

Measurement of human operator trust in automation for unmanned aerial system (UAS) control Dec 2017-Present

Created UAV scenarios; Experiment and questionnaire design; Power analysis for estimating sample size; Used Deming Regression to compare methods of measurement; Non-parametric modeling about operator’s trust; Paper writing

Investigate the relationship between compression rates and spatial judgment biases in Perspective displays Mar-Dec 2015

Data acquisition, analysis and visualization by using R and SPSS; Paper writing RESEARCH PROJECTS (CONTINUED) D

Design recommendations for a restaurant host information system Feb-May 2015 Conducted semi-structured interviews for collecting information from people who have previous restaurant work experience; Generated an abstraction hierarchy for work domain analysis; Prototyped restaurant host information system using Adobe design suite National Key Laboratory of Industrial Psychology

Department of Psychology and Behavioral Science, Zhejiang University

The effects of user’s navigation style, ads’ presentation manner and placement on visual attention to the Web-ads June 2013-Mar 2014

Developed a web-based search task; Designed questionnaire; Programming using E-Prime; Used SMI eye tracker to collect user data; Data analysis using SPSS

The ergonomic evaluation about the satisfaction of the visual environment in the cockpit based on the desktop system of 3D virtual technique Sep 2012-June 2013 Literature reviews on fuzzy mathematics application in commercial field; Experiment and questionnaire design; Data analysis using SPSS

Research on LED lighting platform and visual perception study June-Dec 2012 Experiment design; Search task programming using MATLAB PUBLICATIONS S

J. Wei, M. Bolton and L. Humphrey, The Level of Measurement of Trust in Automation, Theoretical Issues in Ergonomic Science (In review).

S. Kandaswamy, J. Wei, A. Will, E. Savage, R. Ratwani, Z. Hettinger, K. Miller, Variation in EHR Workflow Patterns: A Multi-Site study, Journal of the American Medical Informatics Association (In review).

J. Wei and M. Bolton, Compression Rates and Spatial Judgment Biases made from Synthetic Vision Perspective Displays, Journal of Aerospace Information Systems. M. Li, J. Wei, X. Zheng and M. Bolton, A Formal Machine Learning Approach to Generating Human- machine Interfaces from Task Models, IEEE Transactions on Human-Machine Systems. M. Bolton, E. Judy, A. Boyd, J. Wei and X. Zheng, A Computationally Efficient Formal Method for Discovering Masking in Concurrently Sounding Medical Alarms, Applied Acoustics. AWARDS & HONORS S

Excellent Postgraduate Student, Zhejiang University 2013 Outstanding Graduate Thesis Award, Department of Humanity, Jiangnan University 2011 Merit Scholarship, Jiangnan University 2009


Teaching assistant of IE 306, IE 323, IE 436/536, IE 441/541 & IE 507

Contact this candidate