Senior Researcher at EVLiXiR Biotechnology Co., Ltd., China
Dr. Hao Zhang is a researcher at the Nanjing Bell Mountain Institute of Molecular Medicine & EVLiXiR, specializing in biomaterials, proteomics, and drug delivery. He holds a Ph.D. in Biological Science & Medical Engineering from Southeast University (2019–2024), an MPhil from Nanjing University, and a B.Sc. from Nanjing Forestry University. With prior experience as Director of R&D at Skyraying Biotechnology and R&D Manager at Genscript & Genloci, his expertise lies in high-throughput extracellular vesicle (EV) extraction, peptidomics, and proteomics. His work focuses on mass spectrometry-based biomarker discovery and engineering EVs for targeted drug delivery. 📧 scottzhang09@gmail.com | ORCID: 0000-0001-9744-1707.
Publication Profile
Orcid
🎓 Education Background
Dr. Hao Zhang has a strong academic foundation in biological sciences and medical engineering. He is currently pursuing a Ph.D. (2019–2024) at the School of Biological Science and Medical Engineering, Southeast University, China, under the guidance of Prof. Weiguo Andy Tao. He previously earned an MPhil (2007–2010) from the School of Life Sciences, Nanjing University, mentored by Prof. Chenyu Zhang and A/Prof. Chen Xu. His academic journey began with a B.Sc. (2003–2007) from the School of Forest Resources and Environment, Nanjing Forestry University, where he was guided by Prof. Yulong Ding. 🎓🔬
💼 Professional Experience
Dr. Hao Zhang has extensive experience in molecular medicine and biotechnology. Since October 2018, he has been a Researcher at the Nanjing Bell Mountain Institute of Molecular Medicine & EVLiXiR, focusing on biomaterials and drug delivery. Previously, he served as Director of R&D at Skyraying Biotechnology Co., Ltd. (2015–2018), where he led innovative research projects. From 2010 to 2015, he worked as an R&D Manager at Genscript & Genloci, gaining expertise in proteomics and extracellular vesicle engineering. His career reflects a strong commitment to advancing biomedical research and therapeutic applications. 🧬🔬
🔬 Research Interests
Dr. Hao Zhang’s research focuses on biomaterials, proteomics, and drug delivery. He specializes in high-efficiency and high-throughput extraction of extracellular vesicles (EVs) from body fluids, advancing clinical diagnostics. His expertise extends to peptidomics, proteomics, and modified proteomics technologies, utilizing mass spectrometry to identify EV biomarkers for disease detection. Additionally, he works on engineering extracellular vesicles as targeted drug delivery systems, leveraging scaffold proteins for precision medicine. His contributions enhance therapeutic applications and biomedical innovations, bridging fundamental research with clinical advancements. 🧬💊
Publication Top Notes
- 📄 High-Efficiency Capture and Proteomic Analysis of Plasma-Derived Extracellular Vesicles through Affinity Purification | Analytical Chemistry | 2025 | DOI: 10.1021/acs.analchem.4c04269
- 🧬 Transcriptional and Post-Transcriptional Regulation of CARMN in Cervical Cancer | Journal of Experimental & Clinical Cancer Research | 2024 | DOI: 10.1186/s13046-024-03229-y
- 🏷 Label-Free MRM-MS for Quantifying Phosphopeptides from Extracellular Vesicles | Analytical Chemistry | 2024 | DOI: 10.1021/acs.analchem.4c03492
- 💊 Chondrocyte-Targeted EV Delivery for Osteoarthritis Therapy | Advanced Healthcare Materials | 2024 | DOI: 10.1002/adhm.202303510
- 🧪 Urine Sample Collection & Processing for EV-Based Proteomics | The Analyst | 2024 | DOI: 10.1039/d4an00296b
- 🔬 Surface Functionalization of Exosomes for siRNA Delivery & Cartilage Regeneration | Journal of Controlled Release | 2024 | DOI: 10.1016/j.jconrel.2024.04.009
- ⚡ Targeted Phosphoproteomics of Human Saliva EVs via MRM³ | Analytical Chemistry | 2024 | DOI: 10.1021/acs.analchem.3c04464
- 🏥 DIA Phosphoproteomics of Urinary EVs for RCC Grade Differentiation | Molecular & Cellular Proteomics | 2023 | DOI: 10.1016/j.mcpro.2023.100536
- 🔬 UPLC-MS/MS for Steroids & Glucocorticoids in Human Urine | Analytical Letters | 2023 | DOI: 10.1080/00032719.2022.2092124
- 🧬 Automated EV Extractor for Phosphoproteomics Analysis | Science Discovery | 2022 | DOI: 10.11648/j.sd.20221002.15