About
Chaojie Bu
关于步超杰
Chaojie Bu works at the intersection of psychology, hospital-based psychological medicine workflow, clinical research, digital product building, and AI-assisted personal systems.
Personal systems
步超杰的长期方向，是将心理学训练、临床支持经验、数字产品与 AI 工作流结合起来，构建面向自我觉察、数字健康与个人主权的工具系统。
Background
Psychology-trained builder with international education in experimental psychology and psychology.
Background
Hospital-based psychological medicine workflow experience across psychological assessment, clinical support communication, TMS / neurostimulation-related support, and patient-reported outcome observation.
Background
Independent product work focused on non-diagnostic digital mental health, self-reflection, lifestyle rituals, and personal agency.
Education
International psychology education.
国际心理学教育
A psychology education path connecting experimental training, assessment interests, hospital-based workflow exposure, and digital health product direction.
MSc Psychology with Merit
Bangor University
English-medium master's training in psychology. Dissertation: Gender and Age Differences in the Recall of Autobiographical Memories Using the Autobiographical Memory Recollection Test. Degree certificate dated 2020-12-01.
BSc Psychology
Arizona State University
English-medium undergraduate psychology and behavioural science training. Degree conferred 2018-05-07.
Personal Systems
Discipline as infrastructure.
把自律当作基础设施
Outside work, I use strength training, reading, writing, and AI-assisted workflows as part of a long-term personal operating system.
工作之外，我将力量训练、阅读、写作与 AI 工作流视为长期个人系统的一部分。
Strength training
Part of a long-term operating system for energy, focus, and independent work.
Reading
Part of a long-term operating system for energy, focus, and independent work.
Writing
Part of a long-term operating system for energy, focus, and independent work.
AI-assisted workflows
Part of a long-term operating system for energy, focus, and independent work.
Research Interests
Current intellectual direction.
当前长期方向
Psychological assessment
A serious area for research, product learning, and future collaboration.
Routine clinical measurement
A serious area for research, product learning, and future collaboration.
Measurement-based care
A serious area for research, product learning, and future collaboration.
Digital mental health
A serious area for research, product learning, and future collaboration.
Applied AI for psychological assessment
A serious area for research, product learning, and future collaboration.
AI-assisted self-reflection
A serious area for research, product learning, and future collaboration.
Patient-reported outcomes
A serious area for research, product learning, and future collaboration.
Wellbeing tracking
A serious area for research, product learning, and future collaboration.
Engagement, dropout, deterioration, and triage
A serious area for research, product learning, and future collaboration.
Clinical outcome observation
A serious area for research, product learning, and future collaboration.
Interpretable prediction and calibration
A serious area for research, product learning, and future collaboration.
Safety, bias, and subgroup audit
A serious area for research, product learning, and future collaboration.
Behavior change
A serious area for research, product learning, and future collaboration.
TMS / neurostimulation-related outcome observation
A serious area for research, product learning, and future collaboration.
Professional images are intentionally limited in V1. The public site avoids workplace screenshots, identifiable hospital details, and distracting lifestyle display.