Dr. Wenbo Ye is an Assistant Researcher at the Innovation Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (SHUTCM), in the group of Academician Guo-Qiang Lin. He received his B.S. from Anhui University in 2013 and his Ph.D. in organic chemistry in 2019 from the University of Chinese Academy of Sciences (Shanghai Institute of Organic Chemistry), under the supervision of Prof. Ang Li. He then carried out postdoctoral research at SHUTCM (2019–2022) before being appointed Assistant Researcher. He was a visiting scholar at the College of Pharmacy, University of Michigan, from 2023 to 2025 and returned for a second visit in 2026. His research spans three connected areas: the total synthesis of complex natural products; the medicinal chemistry of bioactive natural products from traditional Chinese medicine, focusing on function discovery and structural optimization; and AI-assisted synthesis optimization, which applies data-driven methods to accelerate both. His recent work centers on bufadienolides, including a scalable, protecting-group-free total synthesis of resibufogenin and bufalin (Org. Lett. 2024), resibufogenin derivatives as Nrf2 activators for Parkinson’s disease (Int. J. Mol. Sci. 2026), and an L-configured, resibufogenin-based STING inhibitor for ulcerative colitis, in which chirality decouples efficacy from toxicity (Eur. J. Med. Chem. 2026).
Dr. Wenbo Ye is an Assistant Researcher at the Innovation Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine (SHUTCM), in the group of Academician Guo-Qiang Lin. He received his B.S. from Anhui University in 2013 and his Ph.D. in organic chemistry in 2019 from the University of Chinese Academy of Sciences (Shanghai Institute of Organic Chemistry), under the supervision of Prof. Ang Li. He then carried out postdoctoral research at SHUTCM (2019–2022) before being appointed Assistant Researcher. He was a visiting scholar at the College of Pharmacy, University of Michigan, from 2023 to 2025 and returned for a second visit in 2026. His research spans three connected areas: the total synthesis of complex natural products; the medicinal chemistry of bioactive natural products from traditional Chinese medicine, focusing on function discovery and structural optimization; and AI-assisted synthesis optimization, which applies data-driven methods to accelerate both. His recent work centers on bufadienolides, including a scalable, protecting-group-free total synthesis of resibufogenin and bufalin (Org. Lett. 2024), resibufogenin derivatives as Nrf2 activators for Parkinson’s disease (Int. J. Mol. Sci. 2026), and an L-configured, resibufogenin-based STING inhibitor for ulcerative colitis, in which chirality decouples efficacy from toxicity (Eur. J. Med. Chem. 2026).