Jingkai Hong

Jingkai Hong

Research Associate

Warwick Business School

Hi, I’m Jingkai Hong. I am a part-time Research Associate working remotely with Jason Bell on consumer behaviour research at Smeal College of Business, The Pennsylvania State University. I obtained my PhD in Behavioural Science at Warwick Business School, supervised by Tim Mullett, and was also a Visiting Doctoral Researcher at the Toronto Decision Neuroscience Laboratory with Cendri Hutcherson. I hold an MSc in Financial Modelling and Optimization from the University of Edinburgh and a BSc in Mathematics and Applied Mathematics from Jiangsu University.

My research investigates cognitive biases in decision-making, with a particular emphasis on how value magnitude, attentional dynamics, and contextual factors shape choice behavior. Using eye-tracking and computational modeling (e.g., aDDM), I examine how individuals allocate attention when making decisions under different constraints, such as time pressure and cognitive load. My work contributes to a better understanding of consumer behavior by revealing the cognitive mechanisms that drive preferences and biases in value-based decision-making.

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Interests
  • Cognitive Bias in Decision Making
  • Eye Tracking
  • Information Processing
  • B2B Procurement Behaviour
  • Consumer Behaviour
  • Computational Modelling (e.g., DDM/aDDM)
Education
  • PhD in Behavioural Science, November 2025

    University of Warwick, Warwick Business School

  • MSc in Financial Modelling and Optimization, October 2020

    University of Edinburgh, School of Mathematics

  • BSc in Mathematics and Applied Mathematics, June 2018

    Jiangsu University, School of Mathematics

Experience

 
 
 
 
 
Smeal College of Business, Pennsylvania State University
Research Associate
Jun 2025 – Present Remote and Part-time
 
 
 
 
 
Toronto Decision Neuroscience Lab, University of Toronto
Visiting Doctoral Student
Sep 2023 – Sep 2024 Toronto, Canada
 
 
 
 
 
Warwick Business School, University of Warwick
Senior Teaching Assistant
Sep 2022 – May 2025 Coventry, United Kingdom

Modules Taught
  • Business Statistics (with ) (master level module, 2022, 2024);
  • Behavioural Economics (undergraduate level, 2025);
  • Big Data Analysis (with ) (master level module, 2023, 2025);
  • The Economics of Well-Being (undergraduate level, 2023);
  • Foundations of Finance (undergraduate level, 2023).

 
 
 
 
 
Ping An Bank Co., Ltd.
Operational Risk Manager
Sep 2018 – Sep 2019 Nanjing, China

Publications

(2025). How Value Magnitude Reshapes the Timecourse of Gaze Bias in Decision Making. Manuscript under review at Cognition.

(2025). Early and Late Information Biases in Evidence Accumulation for Decision Making. Manuscript under review at Psychological Science.

(2025). Framing Sensitivity under Resource Constraints: When and How Time Pressure and Cognitive Load Influence Choice. Preparing for submission to Journal of Experimental Psychology General.

Skills

python
Python

I am proficient in using Python for hierarchical sequential-sampling model fitting (HDDM/HSSM).

r
R

I have advanced competence in for behavioural data analysis, statistical modelling, and reproducible research workflows.

js
JavaScript

I use JavaScript (including jsPsych) to design and deploy complex online behavioural experiments.

eye
Eye Tracking

I am experienced in implementing, calibrating, and analysing both laboratory and mobile eye-tracking methodologies.

latex
LaTex

I am proficient in using LaTeX for papers.

mainlogo
Evidence Accumulation Models

HDDM, HSSM.

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