01 / Evidence miningUnder review
PepMinerva
A literature-mining agent that connects peptide activity records to their source evidence.
Literature mining / LLM workflows↗
PHARMACY · COMPUTATION · RESEARCH SOFTWARE
Connecting peptide evidence to computational discovery.
My doctoral research focuses on developing machine-learning methods and research tools for therapeutic peptides, bringing together literature evidence, traceable data and molecular representations. My work combines computational research with full-stack software development.
Expected PhD completion June 2027
01 / Research
Three connected lines of research
From finding evidence in papers to organising peptide data and building predictive tools.
02 / Data infrastructureIn preparation
PepDiana
A therapeutic peptide database connecting records, activity observations and source provenance.
Data provenance / Database / API↗
03 / Predictive modellingAccepted
Bilingua-DPP-IV
A bimodal predictor for DPP-IV inhibitory peptides, accompanied by a research web service.
ESM-C / Uni-Mol2↗
02 / RESEARCH + ENGINEERING
Research that becomes usable software.
Beyond model development, I build the interfaces, APIs and computing workflows that make research accessible. I have three years of experience administering laboratory computing infrastructure and managing more than 20 research websites and services.
About & CV ↗03 / Publications
Selected publications
2026Accepted
Bilingua-DPP-IV: A bimodal fusion convolutional neural network model for prediction of dipeptidyl peptidase IV inhibitory peptides
ChemMedChem
Accepted on 11 October 2026; not yet published online.
2026Under review
PepMinerva: an evidence-grounded agent for extracting experimentally validated therapeutic peptide activities from full-text literature
Protein Science
2024Published
MedChatZH: A tuning LLM for traditional Chinese medicine consultations
Computers in Biology and Medicine · 2024;172:108290.
Co-first author, listed second
Publication status as of 17 October 2026.
04 / Get in touch
Let’s discuss research.
I am interested in research in computational design of molecules, therapeutic peptides or proteins. I welcome enquiries about research, collaboration or employment opportunities.
2145573258@qq.com