Assistant Professor Department of Statistics and Data Science

Yifang Ma, Ph.D., is an Assistant Professor at Department of Statistics and Data Science of Southern University of Science and Technology (SUSTech). He earned his Ph.D in mathematics in 2016 from School of Mathematical Sciences, Peking University. He was a postdoctoral research fellow at the Northwestern Institute on Complex Systems (NICO) and Kellogg School of Management, Northwestern University from 2016 to 2019. His research focus is on Network Science, Data Science and Computational Social Science, and he has published papers in top tier journals like Nature, PNAS, Nature Physics, The Journal of the American Medical Association,

Personal Profile

Professional Experience:

2019.11-present        Assistant Professor

 Department of Statistics and Data Science, Southern University of Science and Technology

2016.7-2019.09          Postdoctoral Research Fellow

Kellogg School of Management, Northwestern University, Evanston, IL, USA

 

Education:

2011.09-2016.07        Ph.D. in Mathematics

School of Mathematical Sciences, Peking University, Beijing, China

2007.9-2011.7            Bachelor in Applied Mathematics

School of Mathematics and Systems Science, Beihang University, Beijing, China

2014.10-2016.06        Visiting Scholar

Center for Complex Network Research, Northeastern University, Boston, MA, USA

Research

Computational Social Science

Network Science

Data Science

Science of Science


Publications Read More

1. Yifang Ma, Diego F.M. Oliveira, Teresa K. Woodruff and Brian Uzzi, Women who win prizes get less money and prestige. Nature, 565, 287-288 (2019)

2. Diego F.M. Oliveira, Yifang Ma, Teresa K. Woodruff and Brian Uzzi, Comparison of National Institutes of Health Grant Amounts to First-Time Male and Female Principal Investigators. The Journal of the American Medical Association (JAMA), 321(9):898-900 (2019).

3. Michael Szell, Yifang Ma, Roberta Sinatra, A Nobel opportunity for interdisciplinarity. Nature Physics 14.11 (2018): 1075-1078

4. Yifang Ma and Brian Uzzi, Scientific prize network predicts who pushes the boundaries of science. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 115.50 (2018): 12608-12615.

5. Lauren M Ataman, Yifang Ma, Francesca E Duncan, Brian Uzzi, Teresa K Woodruff, Quantifying the growth of oncofertility, Biology of Reproduction, 2018, 99(2), 263–265.

6. Quantong Guo, Yanjun Lei, Xin Jiang, Yifang Ma, Guanying Huo, Zhiming Zheng, Epidemic spreading with activity-driven awareness diffusion on multiplex network, Chaos, 2016, 26(4): 043110.

7. Yanjun Lei, Xin Jiang, Quantong Guo, Yifang Ma, Meng Li, Zhiming Zheng, Contagion processes on the static and activity driven coupling networks, Physical Review E, 2016, 93(3): 032308.

8. Yifang Ma, Xin Jiang, Meng Li and Zhiming Zheng, Trapping on deterministic multiplex networks. Acta Physica Polonica B, 46 (2015) 789-800.

9. Quantong Guo, Xin Jiang, Yanjun Lei, Meng Li, Yifang Ma and Zhiming Zheng, Two-stage effects of awareness cascade on epidemic spreading in multiplex networks, Physical Review E, 91 (2015) 012822.

10. Yifang Ma, Xin Jiang, Meng Li and Zhiming Zheng, Characterizing the efficiency and catalytic effects of modular structures in information propagation. Europhysics Letters, 108 (2014) 48004.

11. Yifang Ma, Xin Jiang, Meng Li, Xin Shen, Quantong Guo, Yanjun Lei and Zhiming Zheng, Identify the diversity of mesoscopic structures in networks: A mixed random walk approach. Europhysics Letters, 104 (2013) 18006.

12. Meng Li, Xin Jiang, Yifang Ma, Xin Shen and Zhiming Zheng, Effect of mixing parts of modular networks on explosive synchronization. Europhysics Letters, 104 (2013) 58002.

News More

  • 统计与数据科学系本科生导师见面会成功举行

    2019-09-13
  • SUSTech Launches New Dept of Statistics and Data Science

    2019-08-21

Lab members Read More

Join us

 

The Department of Statistics and Data Science was established in April 2019. As a newly established department, we currently have 8 faculty members including 1 Chair Professor, 2 Professors, 2 Associate Professors , 2 Tenure-track Assistant Professors and 1 Visiting Assistant Professor and anticipant to rapidly expand to a team of more than 20 members. All faculty members of the department have extensive overseas study or work experiences. One member is an invited speaker at the International Congress of Mathematicians, an IMS Medallion Lecturer and a winner of the prestigious State Natural Science Award (2nd class). The department has 2 research directions, Statistics and Data Science, which cover a broad array of research areas including Biostatistics, Financial Statistics, Experiment Design, Clinical Trials, High Dimensional Data, Time series, Probability Theory, Data Science and Big Data Technology.

 

At present, the department has an undergraduate program as well as two graduate programs(M.Phil and PhD). The department is in the process of developing a Major Program in Data Science and Big Data Technology. In 2019, the first batch of 38 undergraduate students in Statistics received the bachelor degree from SUSTech. 5 M.Phil students in Statistics also graduated in the same year. There are currently 9 M.Phil students, 7 PhD students in Statistics and 2 Postdoctoral Fellows. As the department grows in size and strength, the number of graduate students is expected to rise substantially from the current level and the areas of graduate studies will also expand to include Data Science and Big Data Technology.

 

This is the age of big data which offers exciting opportunities to researchers in Statistics and Data Science. Our department is expected to grow rapidly in the coming years. We invite outstanding scholars to join us in our journey to become a first-class department in Statistics and Data Science. We also welcome brilliant undergraduate and graduate students to apply for our programs. At the same time, we actively recruit excellent postdoctoral candidates.

Read More

Contact Us

Contact Address

Room 405-2, Innovation Park 8#

Office Phone

0755-88015673

Email

mayf@sustech.edu.cn

Copyright © 2018 All Rights Reserved.