Presently, I'm a first year master student in Computer Science at University of California, Santa Cruz (UCSC).

I obtained my PhD degree in physics at University of Science and Technology of China (USTC), where I focused on the study of dynamics of electron-molecular collision. After graduation, my research interest shifted to the study of complex systems and I realized the potential of machine learning techniques in revealing the hidden patterns of a complex system, they provide me a new dimension of thinking.

At UCSC, I expect to build a solid back ground in Computer Science, practice my programing skills and get involved in cutting edge researches in this field. I'm also interested in doing internship at a tech-company, I believe this is an important part of my training in Computer Science.

• Reading. Science fictions and fantasy literatures are indispensable parts of my leisure time. No matter bizarre or magnificent, those potentially existing realities they bring to us attract me deeply；
• Walking alone and reflecting, which could bring me peace (I love the campus of UCSC!);
• Drawing and cooking. They make my life more diverse and colorful.

•  Jul. 2011,   Bachelor of Science in Applied Physics, Anhui Jianzhu University;
• Jun. 2017,   Doctor of Natural Science in Atomic and Molecular Physics,
         University of Science and Technology of China.

• Sep. 2007 — Jun. 2011,   Anhui Jianzhu Univerisy (AJU);
                (as a undergraduate student in Applied Physics)
• Sep. 2011 — Jun. 2017,   University of Science and Technology of China (USTC);
                (as a PhD student, Supervisor: Prof. Xiangjun Chen)
• Jun. 2013 — Jun. 2017,   Beijing Institute of Applied Physics and Computational Mathematics (IAPCM);
                (as a joint educated PhD student, Supervisor: Prof. Jianguo Wang)
• Jan. 2014 — Jun. 2014,   Beijing Computational Science Research Center (CSRC);
                (as a visit student in A/Prof. Xiang Gao’ group)
• Sep. 2018 — Present,    University of California, Santa Cruz (UCSC).
                (as a graduate student in Computer Science)

Machine learning theory; The representation, storage and propagation of information in Neural Networks; Applying machine learning in the study of complex physical systems;

I'm also interested in computer vision, natural language processing and the theory of human consciousness;

1. As an initial attempt, I am working on applying supervised learning in the study of electron-molecule collision dynamics.

(Here only includes papers that I'm either the first author or the second author)

1. X. Li, X. Ren, et al., Two-center interference in electron-impact ionization of molecular hydrogen, Physical Review A, Feb. 2018,  published;
2. X. Li, M. Gong, et al., Calculation of (e, 2e) triple-differential cross sections of formic acid: An application of the multicenter distorted-wave method, Physical Review A, Jan. 2017,  published;
3. X. Li, L. Liu, et al., Spin-resolved electron capture cross sections for C5+ - H collisions, Journal of Physics B, Sep. 2015,  published;
4. M. Gong, X. Li, et al., Multicenter three-distorted-wave approach to three-dimensional images for electron-impact ionization dynamics of molecules: Overall agreement with experiment, Physical Review A,  Oct. 2018,  accepted;
5. M. Gong, X. Li, et al., Theoretical study of electron impact triple differential cross sections of N2O by a multicenter distorted-wave method, Journal of Physics B, Apr. 2018,  published;
6. M. Gong, X. Li, et al., Theoretical study of (e, 2e) processes for valence orbitals of CH4 using a multicenter distorted-wave method, Physical Review A, Oct. 2017,  published;
7. L. L. Yan, X. Li, et al., Radiative association processes to specific rovibrational levels in low-energy Na+ + 87Rb collisions, Physical Review A, Sep. 2014,  published;
8. L. Liu, X. Li, et al., Cross sections for electron capture and excitation in collisions of Liq+ (q=1, 2, 3) with atomic hydrogen, Physical of Plasmas, Jun. 2014,  published;
9. S. Zhang, X. Li, et al., Multicenter distorted-wave method for fast-electron-impact single ionization of molecules, Physical Review A, May. 2014,  published;

(Here only includes international conferences)

1. X. Li, M. Gong, et al., 12th Asian International Seminar on Atomic & Molecular Physics (AISAMP, Changchun, 2016), p. 59;
2. S. Zhang, X. Li, et al., International Symposium on Double Photoionization and Related Topics (e, 2e) & 17th International Symposium on Polarization and Correlation in Electronic and Atomic Collisions (Hefei, 2013), p. 67.