General

ZHAO Lina  Professor and Doctoral Supervisor

                   Principal Investigator of the Nanobiology-AI Molecular Group

                   Member of the Academic Committee of the Multi-Disciplinary Research Division

                   Institute of High Energy Physics, Chinese Academy of Sciences, China


Email:  linazhao@ihep.ac.cn

Telephone:  (010)88238542

Address:  No. 19B, Yuquan Road, Shijingshan District, Beijing, China

Postcode:  100049

Research Areas

Multiscale molecular simulation and deep learning prediction of nanostructure / bio-interface interaction effects:

1.Multiscale simulation computing of nanobiological effects

2. Synchronous online data biomedical image big data mining

3.The application of deep learning in the design prediction of novel nanomedicines and materials


Education

September 2000-March 2005, Beijing Institute of Technology, Condensed Matter Physics and Electromagnetic Field Technology, Doctor

September 1996-June 2000, Beijing Institute of Technology, Applied Physics, Bachelor

Experience


Work Experience

December 2008 - Present, Institute of High Energy Physics, Chinese Academy of Sciences (IHEP, CAS), Excellent Talent Introduced by the Institute

May 2006-September 2008, Nanyang Technological University, Singapore, Algorithm Scientist

April 2005-March 2007, Peking University, School of Physics, Postdoctoral Fellowship


Publications

Five recent representative publications (*corresponding author, #co-authored):

1. Shouwei Zuo#, Wenchao Niu#, Shengqi Chu, Pengfei An, Huan Huang, Lirong Zheng, Lina Zhao*, and Jing Zhang*. Water-Regulated Lead Halide Perovskites Precursor Solution: Perovskite Structure Making and Breaking[J]. The Journal of Physical Chemistry Letters, 14(20): 4876-4885, (2023).

2. Minghui Sun#, Zheng Dong#, Liyuan Wu, Haodong Yao, Wenchao Niu, Deting Xu, Ping Chen, Himadri S Gupta, Yi Zhang*, Yuhui Dong, Chunying Chen, Lina Zhao*, Fast extraction of three-dimensional nanofiber orientation from WAXD patterns using machine learning, IUCrJ 10, 3 (2023).

3. Deting Xu, Wenyan Yin, Jie Zhou, Liyuan Wu, Haodong Yao, Minghui Sun, Ping Chen, Xiangwen Deng and Lina Zhao*, Rational design of MoS2 supported Cu single atom catalysts by machine learning potential for enhanced peroxidase-like activity, Nanoscale 15, 6686-6695 (2023).

4. Jie Zhou#, Deting Xu#, Gan Tian#, Qian He, Xiao Zhang, Jing Liao, Linqiang Mei, Lei Chen, Lizeng Gao, Lina Zhao*, Guoping Yang*, Wenyan Yin*, Guangjun Nie and Yuliang Zhao, Coordination-Driven Self-Assembly Strategy-Activated Cu Single-Atom Nanozymes for Catalytic Tumor-Specific Therapy‍, Journal of the American Chemical Society 145 (7), 4279-4293 (2023).

5. Ying Shi#, Kefeng Pu#, Haodong Yao#, Yingting Chen, Xuewen Zheng, Lina Zhao*, Xiaochuan Ma*, and Cuicui Ge*, Gold Nanorods Inhibit Tumor Metastasis by Regulating MMP-9 Activity: Implications for Radiotherapy, ACS Appl. Mater. Interfaces (2023).


Research Interests

Hosted four National Natural Science Foundation of China (NSFC) projects, one National Key Research and Development Program project, and one National Major Research Instrument Project project.


International Ph.D. Recruitment

Looking for outstanding Ph.D. candidates who meet the following criteria:

1. Have relevant experience in machine learning, with a background in disciplines such as computer science, physics, and chemistry.

2. Candidates with a foundation in physics and chemistry will be given priority.

3. Possess strong English communication skills for effective collaboration in an international research environment.

4. Demonstrate excellent teamwork and interdisciplinary collaboration skills.