Benjamin Leinwand

• PhD (2022) University of North Carolina at Chapel Hill (Statistics and Operations Research)
• BA (2013) Cornell University (Statistical Science and Economics)

• Department of Mathematical Sciences Faculty Candidate Interviewer Member

• Network Science Society Member

Conference Proceeding

1. Leinwand, B.; Wu, G.; Pipiras, V. (2020). Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE.
   http://dx.doi.org/10.1109/isbi45749.2020.9098324.

Journal Article

1. Leinwand, B. (2024). Augmented degree correction for bipartite networks with applications to recommender systems. Applied Network Science (1 ed., vol. 9, pp. 1-27).
   https://appliednetsci.springeropen.com/articles/10.1007/s41109-024-00630-6.
2. Baek, C.; Leinwand, B. N.; Lindquist, K. A.; Jeong, S.; Hopfinger, J.; Gates, K. M.; Pipiras, V. (2023). Detecting Changes in Correlation Networks with Application to Functional Connectivity of fMRI Data. Psychometrika (pp. 1 - 20).
   https://link.springer.com/article/10.1007/s11336-023-09908-7.
3. Leinwand, B.; Pipiras, V. (2022). Block dense weighted networks with augmented degree correction. Network Science (pp. 1-21). Cambridge University Press (CUP).
   http://dx.doi.org/10.1017/nws.2022.23.
4. Leinwand, B.; Ge, P.; Kulkarni, V.; Smith, R. (2021). Winning an election, not a popularity contest. Significance (4 ed., vol. 18, pp. 24-29). Wiley.
   http://dx.doi.org/10.1111/1740-9713.01549.
5. Baek, C.; Gates, K. M.; Leinwand, B.; Pipiras, V. (2021). Two sample tests for high-dimensional autocovariances. Computational Statistics & Data Analysis (vol. 153, pp. 107067). Elsevier BV.
   http://dx.doi.org/10.1016/j.csda.2020.107067.