CV
公开简历
A factual public record of education, experience, publication evidence, projects, skills, and languages.
Summary
Chaojie Bu is a psychology-trained digital health builder and one-person studio focused on psychological assessment workflows, responsible digital health tools, selected services, public writing, and personal agency.
心理学背景的数字健康 Builder，以一人公司方式建设研究相邻工具、选择性服务与公共写作。
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Education
教育背景
Bangor University
2019-2020
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.
Arizona State University
2013-2018
English-medium undergraduate psychology and behavioural science training. Degree conferred 2018-05-07.
Hospital-based psychological medicine workflow experience in a tertiary hospital in China.
Support for high-volume psychological assessment and routine clinical measurement workflows, including structured report communication and non-diagnostic workflow support.
Assessment exposure includes PHQ-9, GAD-7, HAMD, HAMA, MMPI, and SCL-90 depending on departmental workflow and clinical requirements.
TMS / neurostimulation-related workflow support under departmental protocols, including operation support, parameter recording, treatment-course observation, and patient education.
Near-infrared brain function imaging and EEG-related workflow exposure within departmental boundaries.
Patient-reported outcome observation, clinical support communication, clinical service documentation, and research-adjacent data awareness.
Psychological assessment
Routine clinical measurement
Measurement-based care
Digital mental health
Applied AI for psychological assessment
AI-assisted self-reflection
Patient-reported outcomes
Wellbeing tracking
Engagement, dropout, deterioration, and triage
Clinical outcome observation
Interpretable prediction and calibration
Safety, bias, and subgroup audit
Behavior change
TMS / neurostimulation-related outcome observation
Publications
发表列表
Only verified public citation details are shown.
2023
Clinical and Translational Oncology, 25(5), 1378-1388. DOI: 10.1007/s12094-022-03032-1. PubMed PMID: 36484954.
Verified first-author PubMed-indexed evidence. It is presented as evidence of first-author research capacity and psychology-linked translational clinical research experience, not as a digital mental health validation claim.
2025
Journal of Medical Forum / 医药论坛杂志, 46(10), 1039-1042, 1049. DOI: 10.20159/j.cnki.jmf.2025.10.007.
First-author Chinese clinical mental health article from the Australia PhD evidence materials. It is presented as hospital-based clinical mental health research evidence involving PANAS, STAI, HRV, emotional outcomes, and physiological outcome monitoring, not as PubMed-indexed evidence.
2026
Neuro-Oncology Advances. DOI: 10.1093/noajnl/vdag040. PubMed PMID: 41778154.
Selected co-authored PubMed-indexed clinical/translational record. It is relevant because the evidence package links it to psychological distress screening, PHQ-9/GAD-7, and clinical outcomes; it is not presented as first-author work.
2023
Frontiers in Oncology, 13, 1238607. DOI: 10.3389/fonc.2023.1238607. PubMed PMID: 37920153.
Selected co-authored PubMed-indexed clinical/translational record. It is included as broader research-collaboration evidence and kept separate from the digital mental health research direction.
Projects
数字健康项目
Skills
实践能力
Experience around structured assessment procedures, report preparation, non-diagnostic communication, and common clinical rating/self-report instruments such as PHQ-9, GAD-7, HAMD, HAMA, MMPI, and SCL-90 within hospital-based psychological medicine settings.
Able to translate assessment and support-process information into clear, bounded language for patients, colleagues, and public-facing materials.
Interested in self-report signals, follow-up structure, wellbeing tracking, PANAS/STAI/HRV-style outcome indicators, and outcome observation that remain conservative about clinical authority.
Hospital-based exposure to TMS / neurostimulation-related workflow support, parameter recording, treatment-course observation, patient education, and near-infrared / EEG-related workflow boundaries.
Uses AI-assisted workflows to prototype non-diagnostic self-reflection tools, privacy pages, support routes, product documentation, and research-facing public infrastructure.
Research interest in calibration, uncertainty communication, subgroup performance, bias review, and preventing user misunderstanding.
Builds static websites, product pages, compliance documentation, and research-facing materials with AI-supported coding and editing workflows.
Designs product structure, onboarding language, privacy boundaries, App Store support infrastructure, and public product positioning.
Can ship static-first Next.js pages, reusable content architecture, SEO metadata, privacy pages, support pages, and deployment-ready frontend systems.
Works across English-first academic/product communication and Chinese professional writing for selected services and public media.
Languages
语言能力
Academic and professional communication across research, product, and public-facing materials.
Native professional communication for clinical workflow, public writing, and selected services.