معرفی
Pin-Kuang Lai is an Assistant Professor in the Department of Chemical Engineering and Materials Science at Stevens Institute of Technology. He holds a PhD from the University of Minnesota (2018) and completed a postdoctoral fellowship at MIT (2018–2021). His research focuses on integrating machine learning, molecular simulations, and high-throughput screening to address challenges in drug design, particularly for antimicrobial peptides (AMPs) and monoclonal antibodies (mAbs). Key areas include improving AMP stability and reducing toxicity, optimizing antibody stability and viscosity for high-concentration formulations, and developing computational tools for early-stage drug discovery.
Education:
- PhD in Chemical Engineering, University of Minnesota, 2018
- Postdoctoral Research, MIT, Chemical Engineering, 2018–2021
Research Interests:
- Machine learning-driven biomanufacturing and biotherapeutics
- Antibody drug developability and stability prediction
- Metabolic flux analysis via AI integration
- AMP design for reduced bacterial resistance
- High-throughput screening for drug candidates
Grants & Awards:
- Principal Investigator (PI) of multiple grants, including NIH ($191K), Janssen Research ($150K), and Department of Energy ($525K)
- Keynote speaker at AAPS NBC 2025 and Bioprocessing Summit 2024
Professional Activities:
- Editor for mAbs journal
- Reviewer for NIH study sections and professional societies
- Member of AAPS, AICHE, and ACS
- Consultant for AstraZeneca and Proteinea
His lab emphasizes interdisciplinary approaches to advance biopharmaceutical development, with a focus on computational methods to streamline formulation and production processes.
