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, JAMA, Physics Reports.

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



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


Computational Social Science

Network Science

Data Science

Publications Read More

  1. Yifang Ma, Satyam Mukherjee, Brian Uzzi, Mentorship and protégé success in STEM fields.  PNAS, 117 (25) 14077-14083 (2020)
  2. Feixiong Cheng#Yifang Ma#, Brian Uzzi, Joseph Loscalzo, Importance of scientific collaboration in contemporary drug discovery and development: a detailed network analysis. BMC Biology, 18 (1), 1-9 (2020).
  3. Chuang Liu, Yifang Ma, Jing Zhao, Ruth Nussinov, Yi-Cheng Zhang, Feixiong Cheng, and Zi-Ke Zhang. Computational network biology: Data, model, and applications. Physics Reports 846,1-66 (2020).
  4. 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)
  5. 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).
  6. Michael Szell, Yifang Ma, Roberta Sinatra, A Nobel opportunity for interdisciplinarity. Nature Physics 14.11 (2018): 1075-1078
  7. Yifang Ma and Brian Uzzi, Scientific prize network predicts who pushes the boundaries of science.  PNAS, 115.50 (2018): 12608-12615.

News More

  • 统计与数据科学系本科生导师见面会成功举行

  • SUSTech Launches New Dept of Statistics and Data Science


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.

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Contact Address

Room 405-2, Innovation Park 8#

Office Phone



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