My research focuses on using new chemical approaches to advance drug discovery and therapeutic options. I have developed tetrazole and isoxazole as native photo-cross-linkers for chemoproteomics, offering direct interactome mapping methods for tetrazole/isoxazole drug development. I am also passionate about crafting small-molecule probes/inorganic nanomaterials for precise, targeted cancer theranostics.

  • Chemical biology
  • Nanomaterials
  • Cancer theranostics
  • Medicinal Chemistry
  • PhD in Chemistry, 2021

    City University of Hong Kong

Professional Experience

University of California San Francisco
Postdoctoral Researcher
January 2024 – Present United States

Projects include:

  • Trioxolane antimarials
  • Radiolgiands for enhanced anticancer therapy
Sun Yat-sen University
Postdoctoral Researcher
October 2022 – Present China

Projects include:

  • Self-assembly nano-PROTAC for synergetic photo-chemo-therapy
  • Biomedical application of black phosphorus
City University of Hong Kong
Postdoctoral Researcher
September 2021 – September 2022 Hong Kong

Projects include:

  • Developing isoxazole group as a native photo-cross-linker for chemoproteomics
  • Self-assembly activatable photosensitizers for targeted cancer theranostics

Recent Publications

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(2023). Black phosphorus nanosheets enhance differentiation of neural progenitor cells for improved treatment in spinal cord injury. In J. Chem. Eng. 2023, 472, 144977.

PDF Cite DOI ScienceDirect

(2023). Identification of SIRT3 as an eraser of H4K16la. In iScience 2023, 26, 107757.

PDF Cite DOI CellPress PubMed

(2023). De novo designed self-assembling rhodamine probe for real-time, long-term and quantitative live-cell nanoscopy. In ACS Nano 2023, 17, 3632–3644.

PDF Cite DOI ACS Publications PubMed

(2023). Universal strategy to develop fluorogenic probes for kysine deacylase/demethylase activity and application in discriminating demethylation states. In ACS Sens. 2023, 8, 28–39.

PDF Cite DOI ACS Publications

(2022). Mini-review: Recent advances in post-translational modification site prediction based on deep learning. In Comput. Struct. Biotechnol. J. 2022, 20, 3522‑3532.

PDF Cite DOI ScienceDirect


I’m delighted to collaborate with researchers worldwide to address important questions and make meaningful advancements. Feel free to contact me via email or social media.