Yunpeng Cai

- Manage HITs discovery team and projects for BIC/FIC drugs - Manage new modality drug discovery algorithm development，including PROTAC design， covalent inhibitor discovery and target recommendation - Manage general AIDD/CADD algorithm development such as ADMET prediction， PK prediction and core hopping molecule design for Hansoh chemistry center.

- Lead algorithm team to develop and deploy AIDD/CADD algorithms for early drug discovery projects. - Manage several first-in-class HITs discovery projects as the project manager enpowered by internal algorithms for novel druggable pocket discovery and virtual screening of billion-scale commercial compound library. -Develop Hansoh owned de novo molecule design, lead optimization, scaffold hopping and free energy perturbation algorithms to accelerate running drug discovery projects. - Establish Hansoh AIDD Platform as web service accessible by chemists .

- Manage 3 projects as project owner across different functional departments to offer AI/digitalization solutions . All 3 projects ranked A by company annual evaluation. - Project 1: develop NLP models for chemical text data extraction, transformation and prediction, as well as rule-based programs for literature summarization, document processing and auto-formatting (MedDRA, NCCN Guidelines related documents). - Project 2: Design database and establish online data collection platform to enable further utilization of expert labelled data with Active learning techniques. - project 3: Develop graph neural network and random forest to predict molecule properties, which saved about 17 % FTE during molecule analysis process. - Tailor pre-trained models with transfer learning and fine-tuning to meet customized needs, which can increase model accuracy by more than 30 %. - Develop graph neural network and random forest to predict molecule properties.

- Design antisense gapmer oligonucleotide drugs with computational tools for Osteoarthritis treatment -Data analysis and visualization with Python and R - Implement machine learning regression algorithms to predict drug potency and off-target effect

-Manage development process of a microsphere manufacture equipment for protein drugs; -Develop regression models to predict drug release time

Study and research on polymeric drug delivery systems