Independent researcher seeking reference for MIMIC-IV access — happy to connect with fellow researchers

[alwaysmindy]

Hello PhysioNet community,

I am an independent researcher based in South Korea working on a project that combines zero-knowledge proofs (ZKP) with machine learning fairness verification in clinical AI — specifically, verifying that diagnostic models produce fair outcomes across demographic groups (sex, ethnicity) without exposing raw patient data.

I have completed the CITI "Data or Specimens Only Research" course (Score: 92%, completed 23-Mar-2026) and I am ready to apply for MIMIC-IV access.

However, as an independent researcher without a current institutional supervisor, I am looking for a colleague or fellow MIMIC user who would be willing to serve as my reference on PhysioNet.

If anyone in this community is familiar with privacy-preserving ML research or healthcare AI fairness, I would love to connect. I am happy to discuss my research in detail, share my research plan, and of course reciprocate support wherever I can.

Please feel free to reply here or contact me directly.

Thank you very much for your time and support.

Best regards,
Minsun Lee

[amitsaha]

Hi @alwaysmindy i am keen to learn more. What is the best way to contact you directly or learn more about your work?

[alwaysmindy]

### Research Proposal and Request for Professional Reference (MIMIC-IV Access) Dear Amit Saha, Thank you so much for your enthusiastic response! I am thrilled to hear that you are interested in learning more about my work. To answer your question, replying directly to this email is the best way to contact me. As mentioned, I am focusing on a framework to apply zero-knowledge proofs to clinical fairness auditing using the MIMIC-IV dataset. I have attached the PDF version of my current research plan to this email for your review, and you can also track the project repository directly on GitHub via this link: https://github.com/alwaysmindy/zkml-fairness-clinical-ai I would love to hear your thoughts or feedback on the technical pipeline. If you find the research direction meaningful and feel comfortable supporting it, I would be incredibly grateful if I could list you as a professional reference for my "Application for Credentialed Access" on PhysioNet. To fill out the required fields in their application form, I would just need your permission to enter the following basic details: - Reference Category: (e.g., Professional Contact / Mentor) - Name: - Email: - Organization: - Job Title: Please note that according to PhysioNet’s guidelines, it is highly recommended for the reference to be a registered user on PhysioNet and have their ORCID iD linked to their profile, as this significantly expedites their identity verification process. There is absolutely no pressure, so please take your time to look over the research plan first. Thank you again for your time and willingness to help. I look forward to staying in touch! Best regards, Minsun Lee 2026년 5월 17일 (일) 오전 7:43, Amit Saha ***@***.***>님이 작성:

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Hi @alwaysmindy <https://github.com/alwaysmindy> i am keen to learn more. What is the best way to contact you directly or learn more about your work? — Reply to this email directly, view it on GitHub <#1978 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AWBI5DOZENG5OZLCOZAHQKL43DVJTAVCNFSM6AAAAACW3U4XAGVHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTMOJUGMYDKMI> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you were mentioned.Message ID: ***@***.***>

[amitsaha]

Hi @alwaysmindy, thank you for sharing the project plan. Since i cannot see your email here, please send me an email to asah0916@uni.sydney.edu.au ?