Yifan Qian

Postdoc in Science of Science and Innovation

Northwestern University

Biography

I am currently a postdoctoral fellow at the CSSI, Kellogg School of Management at Northwestern University, United States. My research is broadly concerned with the science of science, and combines theories and methods from network science, machine learning, data science, and sociology. The general goal of my work is to measure and predict innovations in research institutions with large-scale data sets on scientific fundings, publications and their broad impacts on various facets of human society.

Download my CV.

Interests

Science of science
Innovation
Computational social science
Network science
Machine learning
Data science

Education

PhD in business and management, 2021

Queen Mary University of London, United Kingdom
MSc in computer science, 2017

Beihang University, China
Diplôme d'ingénieur, 2017

Ecole Centrale de Nantes, France
BSc in information and computing science, 2014

Beihang University, China

News

06/2023 Poster presentation at ICSSI 2023, Northwestern University, US.
07/2022 Oral presentation at NetSci 2022, Shanghai, China.
06/2022 Poster presentation at the inaugural ICSSI 2022 in the National Academy of Sciences, Washington DC, US.
11/2021 I joined the CSSI, Kellogg at Northwestern University, as a postdoc, working with Prof. Dashun Wang.
07/2021 I attended the Science of Science Summer School (S4) 2021.
07/2021 Oral presentation at Networks 2021, Indiana University, US (online).
06/2021 I attended the Summer Institute in Computational Social Science Chicago (SICSS Chicago) 2021.
05/2021 Oral presentation at IC2S2 2021, ETH Zurich, Switzerland (online).
04/2021 📖 New paper published at Patterns Cell Press [published][arXiv].
01/2021 📖 New paper published at IEEE Transactions on Neural Networks and Learning Systems [published][arXiv].
09/2020 Oral and poster presentation at NetSci 2020, Rome, Italy (online).
07/2020 Poster presentation at IC2S2 2020, Massachusetts Institute of Technology, US (online).
05/2020 📖 New preprint on Geometric graphs from data to aid classification tasks [arXiv].
07/2019 Oral and poster presentation at IC2S2 2019, University of Amsterdam, The Netherlands.
05/2019 📖 New preprint on Quantifying the alignment of graph and features in deep learning [arXiv].
03/2019 Oral presentation at Data Natives 2019, City, University of London, UK.
10/2018 Oral presentation at UK Network Science Workshop, University of Greenwich, UK.
07/2018 Poster presentation at IC2S2 2018, Northwestern University, US.
06/2018 Oral and poster presentation at NetSci 2018, Paris, France.