1. CysLENS, an interpretable framework that integrates chemoproteomic engagement, protein-language-model (PLM)-defined cysteine
microenvironments, compound similarity, stereoselectivity, and prior evidence to prioritize recognition driven ligandability.

Pub link: https://doi.org/10.64898/2026.08.26.747357

2. Integral Synthesis and Clearance Analysis via DIA (ISDia), a scalable pSILAC-DIA workflow for measuring relative changes in protein synthesis and clearance across non-steady-state conditions.

Pub link: https://doi.org/10.1101/2025.07.23.666381

3. We developed resolution- and signal-to-noise-based filters to identify reporter-ion distortions in Astral-TMT data, providing a practical quality-control framework for the proteomics field. We also generated a high-depth proteomic map of the cortex, hippocampus, striatum, and kidney across both sexes and three ages, providing a comprehensive view of age-associated changes in protein abundance.

Pub link: https://doi.org/10.1038/s41467-025-60022-x

More exciting work to come!