IDEAS, SYSTEMS & EVERYTHING BETWEEN.AN OPEN-ENDED EXPLORATION ↙
DIRECTORY / RESEARCH↓ SCROLL TO DISCOVER
Learning from data.
Asking better questions
of the natural world.
My research interests connect deep learning with scientific discovery, with a particular focus on protein sequencing and mass spectrometry.
01
De Novo Protein Sequencing
RESEARCH AREA02
Top-Down Mass Spectrometry
RESEARCH AREA03
Deep Learning
RESEARCH AREA04
AI for Scientific Discovery
RESEARCH AREAPublications & papers
CloudAtion: A Functional Programming Framework for Cloud-Native Container Resource Management ↗
Nov 14, 2025
IEEE International Conference on Cloud Computing Technology and Science (CloudCom). A functional programming framework for managing cloud-native container resources.
Patents
Deep learning-based protein identification from Top-Down mass spectrometry ↗
Jul 30, 2026 · Publication CN122658415A
Patent application publication. Combines spectrum encoding, mass-constrained sequence decoding, and diffusion-based refinement to identify intact proteoforms and modification sites.
Experiments
No public entries yet.
Research notes
No public entries yet.
Timeline
Undergraduate Research Assistant · Shenzhen MSU-BIT University
Oct 2024 – Nov 2025
University research experience in Python, large language models, and fine-tuning.