Benjamin Leinwand

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

• Industry Connection Event Member
• Department of Mathematical Sciences Faculty Candidate Interviewer Member

• New York City Metro Area Chapter of the American Statistical Association Vice President
• Session Chair, Quality and Productivity Research Conference Session on Networks and High Dimensional Data Analysis Session Chair

• 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) (pp. 1-4). IEEE.
   https://doi.org/10.1109/isbi45749.2020.9098324.

Journal Article

1. Leinwand, B.; Lyzinski, V. (2025). ACRONYM: Augmented degree corrected, Community Reticulated Organized Network Yielding Model. Journal of Computational and Graphical Statistics (pp. 1-27). Informa UK Limited.
   https://doi.org/10.1080/10618600.2025.2540356.
2. Leinwand, B.; Pipiras, V. (2024). Augmented degree correction for bipartite networks with applications to recommender systems. Applied Network Science (1 ed., vol. 9). Springer Science and Business Media LLC.
   https://doi.org/10.1007/s41109-024-00630-6.
3. Baek, C.; Leinwand, B.; 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 (2 ed., vol. 88, pp. 636-655). Cambridge University Press (CUP).
   https://doi.org/10.1007/s11336-023-09908-7.
4. Leinwand, B.; Pipiras, V. (2022). Block dense weighted networks with augmented degree correction. Network Science (3 ed., vol. 10, pp. 301-321). Cambridge University Press (CUP).
   https://doi.org/10.1017/nws.2022.23.
5. 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.
6. 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.
   https://doi.org/10.1016/j.csda.2020.107067.