Calvin R. Wei is a Senior Research Associate at Shing Huei Group specializing in the application of bioinformatics and pharmacoinformatics to address global infectious disease challenges. With a strong focus on One Health and zoonotic pathogens, Wei utilizes advanced in silico methodologies including proteome mining, subtractive genomics, and virtual screening to identify novel drug targets and therapeutic candidates for neglected and emerging pathogens. His computational research has targeted a diverse range of zoonotic and veterinary-relevant bacteria. Notably, he has applied core proteome-mediated subtractive approaches to identify therapeutic targets against Paenibacillus larvae, a significant honeybee pathogen. In the realm of zoonosis, he has led bioinformatics analyses on autoimmune associations in Rickettsia typhi and conducted virtual screening for natural inhibitors against the zoonotic pathogen Plesiomonas shigelloides. His work further extends to identifying inhibitors for Yersinia enterocolitica through proteome mining and exploring drug targets for Tropheryma whipplei. Beyond computational discovery, Wei maintains a broad research portfolio in the epidemiology of zoonotic and vector-borne diseases. He has published works on the burden of Monkeypox, Crimean-Congo Hemorrhagic Fever (CCHF), and Simian Foamy Virus, as well as the zoonotic risks of antimicrobial resistance. His interdisciplinary work, which also touches on the intersection of computational power and disease management, demonstrates a commitment to leveraging data-driven strategies for the prevention and control of diseases at the animal-human interface.