Area of research
Computational Theory and Mathematics · Molecular Biology
Research interest
Research focused on Blocking (statistics) and Interpretability, with related work in Plasmid, Molecular dynamics, Workflow. Notable publications include 'Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation', 'FragOPT: An ML-Driven Computational Workflow for Rational Fragments Optimization Toward Lead Compounds', and 'AAVone: A Cost-Effective, Single-Plasmid Solution for Efficient AAV Production with Reduced DNA Impurities'.
FragOPT: An ML-Driven Computational Workflow for Rational Fragments Optimization Toward Lead Compounds
AAVone: A Cost-Effective, Single-Plasmid Solution for Efficient AAV Production with Reduced DNA Impurities
Towards novel small-molecule inhibitors blocking PD-1/PD-L1 pathway: From explainable machine learning models to molecular dynamics simulation