Wen Zhang

Vice President | Head of Delivery l Engineering Leader in AI for Drug Discovery | Expertise in Compute, Data, Algorithms & Commercialization | 12+ Years Experience @ BioMap

About

As a pioneer in the AI for Life Science (AI4Science) sector since 2021, I have successfully spearheaded the end-to-end development of AI-driven drug discovery platforms—from infrastructure to commercialization. My expertise lies in bridging the gap between cutting-edge artificial intelligence and biotechnological applications, managing the full lifecycle of "0-to-1" innovation. My core technical and leadership achievements span four key pillars: Compute Infrastructure: Architected cloud-native, heterogeneous multi-cloud computing systems, establishing a robust foundation for high-performance computing (HPC) and model training. Data Strategy: Led the construction of multi-modal biological data warehouses and knowledge graphs, transforming raw biological data into actionable assets. AI & Algorithms: Directed the R&D of proprietary biological foundation models, including protein structure prediction and generative protein design algorithms. Business Impact: Translated technical capability into commercial reality by leading molecule design projects and establishing strategic model collaborations, driving tangible business value. With a background in computer science and over a decade of industry experience, I combine deep technical acumen with strategic management skills to accelerate the future of AI-powered biopharmaceuticals.

Country

China

City

Haidian District

Industry

Internet

Skill

Protein Structure Prediction, Large Language Models (LLM), Data Warehousing, Team Management, Graph Networks, Anti-fraud, Credit Risk Management, Big Data Analytics, Artificial Intelligence (AI), Data Mining, Big Data, Infrastructure, 图数据库, GNN, Transformer模型, 技术人员管理, 技术领导, 软件项目管理, 数据治理, 基础架构管理

Experience

Director of Artificial Intelligence,Head of Protein Model

BioMap

2021-6 - Present · 5 yrs 4 mos

Beijing, China

Seasoned technical leader with extensive experience in the full-stack implementation of AI for Life Science solutions. Since 2021, I have served as a key pioneer in building AI drug discovery capabilities from scratch, overseeing Strategy, Engineering, and Operations across the entire R&D chain. Key Competencies & Milestones: Computing Infrastructure: Built and managed cloud-native, heterogeneous multi-cloud architectures tailored for large-scale AI training and inference. Data Engineering: Established comprehensive data infrastructure, including multi-modal biological data warehouses and advanced data knowledge graphs. Algorithm R&D: Led the development of Biological Foundation Models, focusing on Protein Structure Prediction and Generative Protein Design (De Novo Design). Commercialization: Successfully delivered commercial molecule design projects and facilitated high-value model partnership programs. I am passionate about leveraging full-cycle AI capabilities to solve complex biological challenges and drive innovation in the pharmaceutical industry.