Lei Z

Assitant Director in AI Research @ WuXi Biologics

About

I am a seasoned AI algorithm scientist with a strong focus on AI-driven antibody design and pharmaceutical research. With a Ph.D. in Computational Biology from the University of Chinese Academy of Sciences and extensive experience at leading biotech and technology firms, I have successfully led multiple AI projects that bridge the gap between deep learning and biological research. My expertise lies in developing and deploying state-of-the-art algorithms for antibody design, drug target discovery, contributing to significant advancements in these fields. I am passionate about leveraging AI to drive innovation in drug discovery, expecially in protein and antibody drug discovery. Professional Summary: 1. Extensive experience in algorithm research in AI for antibodies and pharmaceuticals, with successful application and validation in self-developed projects. 2. Proficient in deep learning algorithms, natural language processing (NLP) algorithms (e.g., Transformer/BERT), and graph deep learning (e.g., GCN). Experienced in training large language models for antibody sequence design. Key Talent Awards: Shanghai "Rising-Star" of Technological Innovation "Mingzhu Elite" Talent of Pudong New Area, Shanghai Technological Innovation Talent of Fengxian District, Shanghai Outstanding Employee in WuXi Biologics Breakthrough Achievement Award

Country

China

City

Xuhui District

Industry

Computer Software

Skill

AI-driven Antibody Design, Large-scale Model Training & Pretraining, Natural Language Processing, R, Bioinformatics, Molecular Biology, Genetics, Data Analysis, Statistics, Machine Learning, Python, Matlab, 生命科学, 深度学习, 基因组学, 生物化学, 人工智能, 研究, 图深度学习, 自然语言处理

Experience

Assitant Director in AI Research

WuXi Biologics

2022-4 - Present · 4 yrs 5 mos

中国上海市

Responsible for AI algorithm research in antibody design, prediction of multiple antibody developability, large language model applied in antibody drug discovery. My work on the AbDPP platform, which integrates pretraining and biological structure knowledge, has significantly enhanced antibody design capabilities, resulting in improved affinity and diversity in real-world applications. Additionally, my expertise in training large-scale models for antibody sequence design has led to substantial advancements in the field, with our models being as the foundation for subsequent research initiatives.

医疗AI高级研究员A

华为云

2021-6 - 2022-4 · 11 mos

中国上海市浦东新区

1.预测药物分子性质，负责研发药物性质预测算法基于深度学习算法建立端到端模型； 2.助力药物靶点挖掘，基于NLP和图谱打造药物知识图谱构建流程基于华为云平台能力，构建医疗知识图谱的端到端方案，并为客户构建新冠科研文献图谱，落地三甲医院。 3. 挖掘医疗电子病历信息，建立医疗AI辅助决策算法（国家卫健委家庭医生项目），落地部署。

医疗AI高级研究员B

华为云

2019-3 - 2021-6 · 2 yrs 4 mos

上海浦东

辅助药物靶点发现，独立研发及产品化AutoGGN算法探索图深度学习整合多组学数据及生物网络，打造图基因分子网络算法，协助靶点发现（1）独立开发AutoGGN算法，融合GCN/注意力/残差连接等机制，整合多组学数据与蛋白互作网络，辅助药物靶点发现;（2）负责算法的实际落地，将AutoGGN用于客户项目中。