JHIH-WEI JIAN

Seasoned professional with over 10 years of experience in biomedical research and management, specializing in protein function prediction, synthetic antibody library design, and next-generation sequencing data analysis for single-cell RNAseq and cancer genomics. Demonstrated excellence in team leadership and cross-functional collaboration, committed to optimizing antibody design and enhancing R&D efficiency through AI technology. Successfully designed more than ten synthetic antibody libraries based on different frameworks, significantly improving antibody discovery efficiency.

• Computational Prediction of Nanobody Paratope with Ensemble Classifiers and Diverse Sequence Features (In preparation), Yu JC, Saptashwa Datta, Jian JW, Chen CT
• Synthetic antibody library designs for antibody-protein recognitions through diverse epitopes, Jian JW, Chen HS, Chiu YK, Peng HP, Tung CP, Chen IC, Yu CM, Tso YL, Kuo WY, Hsu HJ, Yang AS, MAbs, 11, 2, 373-387, 2019
• Wang YA*, Jian JW*, Hung CF, Peng HP, Yang CF, Cheng HC, Yang AS. (2018). Germline breast cancer susceptibility gene mutations and breast cancer outcomes. BMC Cancer, 18(1), 315. (*Co-first author)
• Predicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting Atoms, Jian JW, Elumalai P, Pitti T, Wu CY, Tsai KC, Chang JY, Peng HP, Yang AS, PLoS One, 11, 8, e0160315, 2016
• Genetic analysis and evaluation of the reassortment of influenza B viruses isolated in Taiwan during the 2004-2005 and 2006-2007 epidemics, Jian JW, Lai CT, Kuo CY, Kuo SH, Hsu LC, Chen PJ, Wu HS, Liu MT, Virus Res, 131, 2, 243-9, 2008
• Genetic and epidemiological analysis of influenza virus epidemics in Taiwan during 2003 to 2006, Jian JW, Chen GW, Lai CT, Hsu LC, Chen PJ, Kuo SH, Wu HS, Shih SR, J Clin Microbiol, 46, 4, 1426-34, 2008
• For a complete list of publications, including co-authored papers, please visit my Google Scholar profile: https://scholar.google.com.tw/citations?user=zVq3S7kAAAAJ&hl=zh-TW

• Using protein language model for antibody optimization and refinement, 2023/10-Present
• Using Machine learning and deep learning for VHH paratope prediction, 2022/10-2024/3
• Using single-cell RNAseq for studying blood cancer, 2021/3-2022/7
• Fully synthetic antibody library design for scFv and VHH format, 2019/1-2023/7
• Establishment of Taiwan Pathogenic Microorganism Genomic Database, 2003/10-2008/6