I am a PhD-trained AI engineer and analyst who designs and deploys ML pipelines for biomedical imaging, with a strong emphasis on robustness, bias awareness, and secure data handling. I am actively exploring LLM-based prototypes for clinical use cases and advocate for trusted, ethical AI, including adversarial testing and red-teaming. I’m a fast, adaptable learner who thrives on collaboration—rapidly picking up Python, SQL, and cloud platforms (Azure and AWS) to deliver real-world impact. I enjoy translating complex technical insights into actionable solutions, collaborating with clinicians and engineers, and sharing knowledge through publications and conferences. I’ve published seven first-author papers, presented at nine international venues, and lead cross-functional projects to co-design practical technical solutions.

Sue Ann Mah

I am a PhD-trained AI engineer and analyst who designs and deploys ML pipelines for biomedical imaging, with a strong emphasis on robustness, bias awareness, and secure data handling. I am actively exploring LLM-based prototypes for clinical use cases and advocate for trusted, ethical AI, including adversarial testing and red-teaming. I’m a fast, adaptable learner who thrives on collaboration—rapidly picking up Python, SQL, and cloud platforms (Azure and AWS) to deliver real-world impact. I enjoy translating complex technical insights into actionable solutions, collaborating with clinicians and engineers, and sharing knowledge through publications and conferences. I’ve published seven first-author papers, presented at nine international venues, and lead cross-functional projects to co-design practical technical solutions.

Available to hire

I am a PhD-trained AI engineer and analyst who designs and deploys ML pipelines for biomedical imaging, with a strong emphasis on robustness, bias awareness, and secure data handling. I am actively exploring LLM-based prototypes for clinical use cases and advocate for trusted, ethical AI, including adversarial testing and red-teaming.

I’m a fast, adaptable learner who thrives on collaboration—rapidly picking up Python, SQL, and cloud platforms (Azure and AWS) to deliver real-world impact. I enjoy translating complex technical insights into actionable solutions, collaborating with clinicians and engineers, and sharing knowledge through publications and conferences. I’ve published seven first-author papers, presented at nine international venues, and lead cross-functional projects to co-design practical technical solutions.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Clinical Trial Assistant (Casual) at Data Optimal Clinical Trials
May 1, 2025 - Present
Validated and managed regulated clinical trial datasets with strict compliance to GCP standards.
Clinical Trial Assistant (Casual) at Data Optimal Clinical Trials
May 1, 2025 - Present
Validated and managed regulated clinical trial datasets with strict GCP compliance; gained practical exposure to regulated data environments and quality-driven workflows.
Data & Engagement Analyst - Women in Engineering Outreach Project at University of Auckland
December 1, 2024 - October 9, 2025
Analyzed longitudinal enrolment datasets to extract actionable insights on gender diversity trends in engineering; built interactive dashboards and reports in Excel/Power BI; collaborated with academic leadership to translate data trends into targeted outreach strategies.
Data & Engagement Analyst - Women in Engineering (WIE) Outreach Project at University of Auckland
December 1, 2024 - October 9, 2025
Analysed longitudinal enrolment datasets to extract insights on gender diversity trends; built interactive dashboards in Excel/Power BI; collaborated with academic leadership to translate data trends into outreach strategies.
Research Engineer/ Doctoral Researcher at Auckland Bioengineering Institute, University of Auckland
April 30, 2024 - October 9, 2025
Designed and implemented AI-powered pipelines for large-scale biomedical imaging datasets, automating workflows and improving reproducibility. Developed and optimized supervised ML models achieving AUROC up to 99.5%, enabling data-driven insights. Collaborated with clinicians and engineers to co-design solutions; presented research at 9 international platforms.
Research Engineer/ Doctoral Researcher at Auckland Bioengineering Institute, University of Auckland
April 1, 2024 - October 9, 2025
Designed and implemented AI-powered pipelines for large-scale biomedical imaging datasets, automating workflows and improving reproducibility. Developed and optimised supervised ML models, achieving AUROC scores up to 99.5%. Engaged with clinicians and engineers to co-design technical solutions, and presented research at 9 national/international platforms. Managed the full research cycle from hypothesis to publication.
Graduate Teaching Assistant - Physics & Engineering at University of Auckland
October 1, 2023 - October 9, 2025
Mentored students in advanced mathematics and physics; simplified technical concepts for diverse learners; supported course delivery and assessment.
Graduate Teaching Assistant - Physics & Engineering at University of Auckland
October 1, 2023 - October 9, 2025
Mentored students in advanced mathematics and physics; simplified technical concepts for diverse learners; supported classroom learning and problem-solving.

Education

Ph.D. Bioengineering at Auckland Bioengineering Institute, University of Auckland
January 11, 2030 - October 9, 2025
MSc Physics and Engineering in Medicine at University College London
January 11, 2030 - October 9, 2025
B.E (Hons) Chemical Engineering, First Class Honours at Monash University
January 11, 2030 - October 9, 2025
Ph.D. Bioengineering at Auckland Bioengineering Institute, University of Auckland
January 11, 2030 - October 9, 2025
MSc Physics and Engineering in Medicine at University College London
January 11, 2030 - October 9, 2025
B.E (Hons) Chemical Engineering, First Class Honours at Monash University
January 11, 2030 - October 9, 2025

Qualifications

Marsden Fund Scholarship
January 11, 2030 - October 9, 2025
ABI Scholarship
January 11, 2030 - October 9, 2025
Marsden Fund Scholarship
January 11, 2030 - October 9, 2025
ABI Scholarship
January 11, 2030 - October 9, 2025

Industry Experience

Healthcare, Life Sciences, Education, Professional Services, Software & Internet, Media & Entertainment