Dr. Ming Wu is a highly skilled clinical surgeon and researcher specializing in targeted drug development and precision medicine. He holds a Doctor of Medicine degree. Dr. Wu specializes in developing new therapeutic targets for diseases such as cancer, osteoporosis, and sarcopenia, with a focus on accelerating drug discovery using artificial intelligence and bioinformatics.

Currently working at Shanghai Naval Medical University, he combines clinical experience with cutting-edge research to develop innovative therapies. Breakthroughs have been made in the treatment of bone metastasis and osteogenic differentiation of lung adenocarcinoma, and several papers have been published in high-impact journals with a total impact factor score of more than 40 and a maximum of 14.3.

In addition to his clinical and research roles, he is an active reviewer of leading medical journals. His contributions to medical research have received several prestigious awards and recognitions, including the F5000 Honorary Certificate from the Ministry of Science and Technology of China, and the honor of China's Leading High-impact Paper in 2002.

I am a dedicated Ph.D. candidate jointly trained by the School of Life Science and Technology at Huazhong University of Science and Technology and the Big Data Research Center at West China Hospital. My research focuses on bioinformatics and the development of artificial intelligence methods for immunomics data analysis. With a strong commitment to advancing the field of computational immunology, I strive to bridge the gap between biological complexity and computational precision.
Over the course of my academic journey, I have achieved significant milestones in scientific research. As the first author, I have published in prestigious journals such as iMeta (Impact Factor: 23.7) and Small Methods (Impact Factor: 10.7), where my work has been recognized for its innovative approach and rigorous methodology.
Beyond my academic achievements, I am passionate about leveraging interdisciplinary knowledge to tackle complex biological problems. By combining bioinformatics with artificial intelligence, I aim to uncover insights that advance our understanding of the immune system and its role in human health and disease.
Looking ahead, I aspire to contribute to the development of transformative tools and frameworks in computational biology that enable more efficient and accurate interpretation of immunomics data, ultimately driving progress in precision medicine and therapeutic innovation.