Zihang Lin

Zihang Lin

PhD candidate,

Northwestern University

Biography

Zihang Lin is a PhD candidate in the Department of Industrial Engineering & Management Sciences (IEMS) of the McCormick School of Engineering at Northwestern University. He is affiliated with Kellogg Center for Science of Science & Innovation and Northwestern Institute on Complex Systems, under the supervision of Prof. Dashun Wang. He has also been fortunate to work closely with Prof. Benjamin F. Jones. He earned his master’s degree in Northwestern IEMS in 2024. Previously, he received his bachelor’s degree in computer science from Fudan University in June 2023, where he was advised by Prof. Yang Chen. During 2021 and 2022, he was a Visiting Predoctoral Fellow at the Kellogg School of Management, Northwestern University.

His research interests encompass computational social science, science of science, and innovation. Recently, his endeavors have been concentrated on extensive data analyses with advanced machine learning techniques, in a quest to achieve a deeper understanding of science and innovation. Specifically, he is interested in how prior scientific knowledge supports tomorrow’s technological breakthroughs, aiming to accelerate the translational impact of research and foster innovation ecosystems.

Download my Curriculum Vitae.

Interests
  • Computational Social Science
  • Science of Science
  • Innovation
Education
  • PhD candidate in Industrial Engineering & Management Sciences, 2023-now

    McCormick School of Engineering, Northwestern University

  • M.S. in Industrial Engineering & Management Sciences, 2024

    McCormick School of Engineering, Northwestern University

  • B.S. in Computer Science, 2023

    School of Computer Science, Fudan University

Experience

 
 
 
 
 
PhD candidate at Northwestern IEMS, Researcher in residence
Aug 2023 – Present Evanston, IL, USA | working with Prof. Dashun Wang
 
 
 
 
 
Intern
Mar 2023 – Jun 2023 Shanghai, China | Machine Learning Engineer Intern
 
 
 
 
 
Visiting Predoctoral Fellow
Aug 2021 – Jul 2022 Evanston, IL, USA | Center for Science of Science & Innovation (CSSI) with Prof. Yian Yin and Prof. Dashun Wang
 
 
 
 
 
Research Assistant
Jun 2019 – Jun 2023 Shanghai, China | Mobile Systems and Networking (MSN) Group with Prof. Qingyuan Gong and Prof. Yang Chen

Research

Dual frontier: How prior scientific ideas predict tomorrow’s technological breakthroughs
As the time lag between granted patents and cited scientific papers has increased over the past few decades, we are currently working on how prior scientific knowledge supports tomorrow’s technological breakthroughs, aiming to accelerate the translational impact of research and foster innovation ecosystems.
Dual frontier: How prior scientific ideas predict tomorrow's technological breakthroughs

Publications & Working Papers

(2022). Structural Hole Theory in Social Network Analysis: A Review. IEEE Transactions on Computational Social Systems 9 (3), 724-739.

Preprint PDF Cite

Selected Scholarships & Awards