Experience

Academic Experience

My experience is primarily academic and research-driven, spanning engineering training, graduate study, and current doctoral work in computer science at the University of Auckland.

Current doctoral appointment MSc completed in 2025 BEng foundation in engineering Reviewer for IJCAI & ECML
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Timeline

Appointments & Degrees

  1. Current Doctoral Student
    Faculty of Science, Computer Science, University of Auckland, New Zealand

    Publicly listed university appointment and current academic role.

  2. 1 Mar 2023 - 1 May 2025 Master of Science
    University of Auckland, Auckland, New Zealand

    Graduate study culminating in a thesis on stereotypical bias in large language and vision-language models.

  3. 1 Sep 2019 - 26 Jun 2023 Bachelor of Engineering
    Northeast Forestry University, Harbin, China

    Undergraduate engineering education that built the technical base for later AI and machine learning research.

Trajectory

Research Development

My academic path has progressively moved from broad engineering foundations toward focused research in machine learning and trustworthy AI. During my master's work, I concentrated on model bias and evaluation in large-scale generative systems.

My current doctoral stage extends that direction into a broader research agenda that includes multimodal learning, applied evaluation, and AI behavior under realistic, context-rich conditions.

Working Themes

Experience by Theme

Academic Writing Conference Publishing Bias Evaluation Multimodal Datasets Model Analysis

Where I do not have formal industry roles publicly listed, this page emphasizes academic appointments, graduate training, and research milestones rather than inventing unsupported work history.

Service

Academic Service

Conference Reviewer

I have served as a reviewer for international AI conferences, including IJCAI and ECML, contributing to peer review in machine learning and artificial intelligence.

Research Community Engagement

This reviewing work reflects my ongoing engagement with the broader AI research community and my interest in rigorous, constructive evaluation of new work.

Milestones

Recent Milestones

Masters Thesis Completed

Completed a master's thesis at the University of Auckland in May 2025 on stereotypical bias in large language and vision-language models.

IJCAI 2025 Publication

Published first-author work on debiasing vision-language models, reflecting a strong interest in fairness-aware multimodal systems.

Ongoing Doctoral Research

Now building a doctoral research agenda around trustworthy AI, contextual modeling, and deployment-relevant evaluation.

Cross-Modal Applications

Contributed to multimodal work that links visual data with environmental metadata in applied domains such as animal re-identification.