Picture of Linderman

George C. Linderman

About me:

I am an MD PhD student at Yale University, pursuing my PhD in Applied Mathematics. Broadly, I am interested in developing mathematical and computational solutions to biomedical problems.


I maintain the following software packages:


MATH222: Linear Algebra with Applications (Teaching Fellow, Fall 2017)


Publications & preprints

Publication list on Google Scholar
  1. Linderman, G. C., Zhao, J., Kluger, Y. (2018). "Zero-preserving imputation of scRNA-seq data using low rank approximation." (bioRxiv)
  2. Linderman, G. C., Lu, J., Lu, Y., Sun, X., Xu, W., Nasir, K., Schulz, W., Jiang, L., Krumholz, H.M. "Association of Body Mass Index With Blood Pressure Among 1.7 Million Chinese Adults." JAMA Network Open. 2018.(link)
  3. Linderman, G. C., Steinerberger, S. (2018). "Numerical Integration on Graphs: Where to Sample and How to Weigh." (arXiv)
  4. Linderman, G. C., Rachh, M., Hoskins, J.G., Steinerberger, S., Kluger, Y. (2017). Efficient Algorithms for t-Distributed Stochastic Neighborhood Embedding (arXiv)
  5. Lu, J., Lu, Y., Wang, X., Li, X., Linderman, G.C., Wu, C., Cheng, X., Mu, L., Zhang, H., Liu, J., Su, M., Zhao, H., Spatz, E.S., Spertus, J.A., Masoudi, F.A., Krumholz, H.M., Jiang, L. Underdetected and Undertreated Hypertension in China: Data from 1.7 Million Adults in the China PEACE Million Persons Project. Lancet. 2017 (link)
  6. Linderman, G.C., Mishne, G., Kluger, Y., Steinerberger, S. Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science (arXiv).
  7. Linderman, G. C., Steinerberger, S. (2017). Clustering with t-SNE, Provably (arXiv).
  8. Li, H., Linderman, G.C. , Szlam, A., Stanton, K.P., Kluger, Y., Tygert, M. “Algorithm 971: An implementation of a randomized algorithm for principal component analysis.” ACM Transactions of Mathematical Software. 43, 3, Article 28 (January 2017) (link).
  9. Wang Z, Jenkins M, Linderman G.C., Bezerra H, Fujino Y, Costa M, Wilson D, Rollins, A. “3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search.” IEEE Transactions on Medical Imaging. 34 (7) 1549-1561 (link)
  10. Linderman, G.C., Chance, M.R., Bebek, G.: “MAGNET: MicroArray Gene expression and Evaluation Toolkit.” Nucleic Acids Research 40 (W1), W152-W156 (link)
  11. Linderman, G.C., Patel, V.N., Chance, M.R., Bebek, G.: “BiC: a Web Server for Calculating Bimodality of Coexpression Between Gene and Protein Networks.” Bioinformatics 27 (8), 1174-1175 (link)