Fudan University | China
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🎓 Early Academic Pursuits
Dr. Yan Li began his academic journey at the University of Science and Technology of China, where he earned his Bachelor of Science in Chemistry in 2005, under the mentorship of Prof. Youcheng Liu, an esteemed academician of the Chinese Academy of Sciences. He then pursued his Ph.D. at the Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, focusing on molecular modeling and computer-aided drug design under Prof. Renxiao Wang. This rigorous training laid the foundation for his future innovations in computational drug discovery.
💼 Professional Endeavors
Dr. Li's career trajectory is marked by steady progression through prestigious research institutions. From 2010 to 2013, he served as an Assistant Research Fellow at the State Key Laboratory of Bioorganic Chemistry, and was promoted to Associate Professor in 2013. Since 2019, he has held the position of Associate Professor in the Department of Medicinal Chemistry at Fudan University, a leading institution in pharmaceutical sciences. His academic appointments reflect both trust and recognition from the scientific community.
🔬 Contributions and Research Focus
Dr. Li’s research is centered on structure-based drug design, deep learning for molecular generation, and protein-ligand/protein-protein interactions. He develops theoretical models and computational methods to accelerate lead compound discovery and optimization for drug development. His work also delves into identifying interaction patterns in protein-protein interfaces and designing novel small molecules to modulate these interactions — a promising frontier in targeting diseases such as cancer and neurodegeneration.
🏅 Accolades and Recognition
Dr. Li's scientific excellence is evidenced by a robust publication record in high-impact journals like Journal of Medicinal Chemistry, ACS Omega, J. Chem. Inf. Model., and Acta Pharmaceutica Sinica B. He is frequently invited to present at leading conferences, including the Chinese Medicinal Chemistry Symposium, ACS National Meeting, and European QSAR Symposium, highlighting the global relevance and recognition of his research.
🌍 Impact and Influence
Dr. Li’s computational methods and predictive models are widely used in both academic and industrial drug discovery. His work on hydration sites, binding affinity predictions, and molecular simulations has enhanced the precision of virtual screening pipelines. The tools and frameworks he develops are contributing to faster, more cost-effective drug discovery, influencing pharmaceutical research worldwide.
🔮 Legacy and Future Contributions
Looking forward, Dr. Li is poised to play a pivotal role in integrating AI and machine learning with drug discovery, especially in the design of multi-targeted and personalized therapies. His ongoing efforts in de novo drug design and protein interface targeting are expected to lead to significant breakthroughs in therapeutic innovation. As a mentor and thought leader, he continues to inspire a new generation of researchers in medicinal chemistry and computational biology.
Publications
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📄 Examining the role of tap cell in suppressing single event transient effect in 28-nm CMOS technology
Authors: Chenyu Zhang, Yan Li, Wenfa Zhan, Wenping Geng, Ting Liang, Xiaoyang Zeng
Journal: Microelectronics Journal
Year: 2024
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📄 A Non-Redundant Latch With Key-Node-Upset Obstacle of Beneficial Efficiency for Harsh Environments Applications
Authors: Yan Liu, Yan Li, Xu Cheng, Jun Han, Xiaoyang Zeng
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
Year: 2023
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📄 DMBF: Design Metrics Balancing Framework for Soft-Error-Tolerant Digital Circuits Through Bayesian Optimization
Authors: Yan Li, Chao Chen, Xu Cheng, Jun Han, Xiaoyang Zeng
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
Year: 2023
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📄 Impact of Tap Cell on Single Event Transient in 28-nm CMOS Technology
Authors: Chenyu Zhang, Chiyu Tan, Yan Li, Xu Cheng, Jun Han, Xiaoyang Zeng
Journal: European Conference on Radiation and Its Effects on Components and Systems, RADECS
Year: 2022
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📄 Pulse Quenching Effect Characterized by Inverter Chains under Heavy-ion Irradiation in 28-nm CMOS Technology
Authors: Chiyu Tan, Yan Li, Shaohang Chu, Rongmei Chen, Xu Cheng, Jun Han, Xiaoyang Zeng
Journal: European Conference on Radiation and Its Effects on Components and Systems, RADECS
Year: 2022