Applied AI for psychological assessment
Interest in AI-assisted workflows that support structured reflection, measurement interpretation, calibration, and safety audit without replacing clinical judgement.
Research dossier
Applied AI, Psychological Assessment & Digital Mental Health
Applied AI is treated as a method and implementation layer: useful for assessment support, self-reflection, outcome tracking, calibration, and safety/bias audit, but not a replacement for diagnosis, treatment, clinical decision-making, or validated intervention evidence.
Profile and direction
Research Profile
My work sits between psychological assessment, routine clinical measurement, behavioural health, digital mental health, clinical outcome observation, patient-reported outcomes, and responsible applied AI implementation.
Completed English-medium psychology training across Bangor University and Arizona State University.
Cross-cultural academic readiness from UK/US study, independent learning, academic writing, and research communication.
China-valid intermediate professional title in psychological therapy at technologist-in-charge level, awarded through China's national health professional technical qualification system.
Hospital-based psychological medicine workflow experience in a tertiary hospital in China.
Verified first-author and co-authored clinical/translational publication evidence.
Responsible AI and digital product work used as methods and implementation evidence, not as the entire research identity.
Psychological assessment and measurement
A psychology-trained direction around routine assessment, patient-reported outcomes, symptom and functioning measures, and measurement-based care.
Digital mental health implementation
Research interest in low-burden digital tools, wellbeing tracking, user understanding, privacy-aware product boundaries, and implementation usefulness.
Clinical outcomes and service context
Hospital workflow exposure informs interest in outcome observation, follow-up structure, clinical support communication, and real-world service constraints.
Evidence ledger
What the current record supports.
Training
International academic readiness
Completed English-medium psychology study across Bangor University and Arizona State University, with verified degree evidence, cross-cultural academic adaptation, independent study experience, and a Bangor dissertation on autobiographical memory.
Practice
Hospital-based psychological medicine context
Experience around psychological assessment workflow, routine clinical measurement, clinical support communication, TMS / neurostimulation-related support, near-infrared / EEG-related workflow exposure, and patient-reported outcome observation in a tertiary hospital in China.
Research
Verified publication evidence
One first-author PubMed-indexed paper, one first-author Chinese clinical mental health article, and ten co-authored PubMed-indexed records are used as evidence of research execution and clinical/translational collaboration, without presenting them as digital mental health validation.
Research Fit
Behavioural health, outcomes, and digital implementation
A broader research direction across psychological assessment, behavioural health, patient-reported outcomes, wellbeing tracking, rehabilitation or ageing-adjacent contexts, clinical outcome observation, and responsible digital implementation.
Builder Signal
Static-first digital health product work
Product prototypes and public infrastructure are presented as non-diagnostic, privacy-aware, and research-adjacent rather than as unsupported clinical claims.
First-author PubMed
The glioma paper is used as evidence of complete first-author research execution, manuscript delivery, and PubMed-indexed clinical/translational research experience.
First-author Chinese mental health article
The anxiety, cyclic breathing, mindfulness, PANAS, STAI, HRV, and emotional outcome article connects the profile more directly to clinical mental health and outcome measurement.
Co-authored clinical outcome papers
Ten PubMed-indexed co-authored records show clinical/translational collaboration and outcome-facing research participation without overstating authorship or clinical authority.
Selected publications
Public records, presented at the level they prove.
Key public records are shown here. The full factual list belongs in the web-safe CV and source records.
2023
Fear stress promotes glioma progression through inhibition of ferroptosis by enhancing FSP1 stability.
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
Effects of cyclic breathing and mindfulness meditation on emotional and physiological states in patients with anxiety disorders.
Journal of Medical Forum, 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
Emotional distress impairs immune checkpoint blockade efficacy in recurrent high-grade glioma: insights from tumor in situ fluid analysis.
Neuro-Oncology Advances. DOI: 10.1093/noajnl/vdag040. PubMed PMID: 41778154.
Co-authored PubMed-indexed clinical/translational record. It is relevant because the article directly connects emotional distress, immune checkpoint blockade efficacy, recurrent high-grade glioma, and clinical outcomes; it is not presented as first-author work.
2026
Dynamic signature for the effectiveness of anti-PD-1 therapy combined with vascular normalization therapy in recurrent glioblastoma: a randomized phase 2 trial.
Cancer, 132(2), e70253. DOI: 10.1002/cncr.70253. PubMed PMID: 41533333.
Co-authored PubMed-indexed randomized phase 2 clinical trial record. It is included as clinical/translational collaboration evidence and is not presented as first-author work.
Research questions
Questions that keep the direction concrete.
01
Psychological assessment & patient-reported outcomes
How can routine psychological assessment data and patient-reported outcomes be used more responsibly in clinical or health-service settings?
02
Wellbeing tracking in health populations
How can low-burden digital check-ins support wellbeing observation in chronic illness, rehabilitation, ageing, or mental health-adjacent contexts?
03
TMS / neurostimulation-related outcome observation
How can structured symptom and functioning measures improve follow-up and outcome observation around neurostimulation-related workflows?
Applied AI and digital health
Implementation evidence with explicit limits.
Mind Portrait as research-adjacent prototype
Mind Portrait is presented as a bounded research-adjacent prototype: non-diagnostic self-reflection, wellbeing tracking, AI boundary design, and implementation usefulness, not a clinical tool or validated intervention.
Product execution as implementation evidence
Selected product work is used only as evidence of execution capacity, localization, privacy-page setup, support infrastructure, and App Store preparation - not as scientific or clinical evidence.
Static public infrastructure
The website, product pages, support pages, privacy routes, data handling pages, and careful boundary writing show practical execution capacity useful for research translation.
Collaboration fit matrix
What a collaborator can evaluate quickly.
What a collaborator can evaluate quickly: the connection between psychology training, hospital-based workflow exposure, health outcome interests, digital health prototypes, and a broad but coherent research direction.
Research area
Psychological assessment
Current evidence
Psychology training plus hospital-based psychological assessment workflow exposure, including PHQ-9, GAD-7, HAMD, HAMA, MMPI, and SCL-90 depending on departmental workflow.
Research fit
Potential fit for projects on assessment design, patient-reported outcomes, measurement-based care, clinically adjacent digital tools, and applied AI-assisted assessment workflows.
Research area
Digital mental health
Current evidence
Mind Portrait and related product infrastructure are framed as non-diagnostic, privacy-aware self-reflection and wellbeing tracking tools. SeYun Outfit is treated only as product execution evidence.
Research fit
Potential fit for responsible digital mental health, wellbeing tracking, AI-assisted self-reflection, implementation evaluation, and human-centered tool assessment without narrowing the whole profile to AI.
Research area
Clinical outcome observation
Current evidence
Experience around clinical support communication, TMS / neurostimulation-related support, near-infrared / EEG-related workflow exposure, patient-reported outcome observation, PANAS/STAI/HRV-linked anxiety article evidence, and selected clinical/translational PubMed records.
Research fit
Potential fit for observational work on outcome tracking, interpretable prediction, calibration, safety/bias audit, structured follow-up, and non-diagnostic support workflows.
Research area
Builder capacity
Current evidence
Static-first public infrastructure, privacy/support pages, product centers, and careful safety disclaimers are already being built.
Research fit
Potential fit for applied research that benefits from prototyping ability, technical execution, and research-to-product translation.
Where this profile can be useful
Fit is overlap, not persuasion.
Academic collaboration where assessment and outcomes matter
Collaboration around psychological assessment, patient-reported outcomes, wellbeing tracking, clinical outcome observation, and practical tool evaluation.
PhD/HDR or funded research projects where fit is strong
A serious route when the project genuinely overlaps with psychological assessment, behavioural health, clinical outcomes, digital mental health, or applied AI.
Responsible research-adjacent digital tool development
Non-diagnostic digital health and self-reflection tools that keep clinical authority, safety, privacy, and implementation boundaries explicit.
Project and program conversations around implementation usefulness
Useful where a project needs both academic caution and practical execution: public-facing pages, privacy/support routes, prototypes, and clear boundaries.
This profile is for research conversations where psychological assessment, digital mental health, clinical outcomes, and applied AI implementation overlap. PhD/HDR supervision is one possible route where fit is strong, but the page is designed to remain useful for academic collaboration, project conversations, and research-adjacent product work.
If you arrived from an email I sent, reply to that thread. New academic inquiries or forwarded introductions can use research@chaojiebu.com.