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š¢ Iām currently working as a senior research assistant at Duke-NUS Medical School with Prof. Nan Liu.
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šØāš I received MRes Degree at Imperial College London in 2023 on my Master Thesis "CNN-based Pipeline for Fungal Burden Quantification in Whole Slide Images" under the supervison of Prof. Reiko Tanaka. Before that, I received BEng degree from Sichuan University in China.
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š± My research interests lay in domain adaptation for AI-Healthcare, particularly concerning time-series clinical records. My goal is to enhance the robustness and generalizability of AI-driven healthcare systems. Currently, I am investigating the potential of algorithms such as meta-learning and large language models in bridging the domain gaps present in health records.
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š¬ You are very welcomed to contact me regarding research-wise collaboration or working/study experience.
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š« How to reach me: š§ [email protected]; š§ [email protected]
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Name: Mingcheng Zhu
Type: User
Company: National University of Singapore
Bio: RA at NUS; Graduated MRes at Imperial College; Interested in AI in Health and Domain Adaptation.
Location: Singapore