Biography
Lauren Burns is an Assistant Professor of Instruction in the Department of Statistical Science. She teaches traditional and online BBA, honors, and general education courses, as well as courses in the Fox MBA and Executive MBA programs. Outside of teaching, Dr. Burns has also worked on various consulting projects for the Center for Statistical Analysis at Temple.
Dr. Burns’ research interests are in the areas of survival analysis, specifically the presence of non-proportional hazards, high-dimensional data, and dimension reduction. She focuses mostly on applications in Biostatistics dealing with micro-array gene expression data.
Before beginning her career here, Dr. Burns received her M.S. degree and PhD in Statistics from Temple’s Fox School of Business. She also studied at Muhlenberg College, where she earned a Bachelor of Science degree in Mathematics and Economics.
Research Interests
- Survival analysis
- Non-proportional hazards
- Microarray gene expression data analysis
- High-dimensional data
- Dimension reduction
Courses Taught
Number | Name | Level |
|---|---|---|
STAT 0827 | Statistical Reasoning & Games of Chance | Undergraduate |
STAT 1001 | Quantitative Methods for Business I | Undergraduate |
STAT 1102 | Quantitative Methods for Business II | Undergraduate |
STAT 1902 | Honors Quantitative Methods for Business II | Undergraduate |
STAT 2103 | Statistical Business Analytics | Undergraduate |
STAT 2521 | Data Analysis and Statistical Computing | Undergraduate |
STAT 5607 | Advanced Business Analytics | Graduate |
STAT 5801 | Statistical Analysis for Management | Graduate |
Selected Publications
Recent
Asadi, M., Devarajan, K., Ebrahimi, N., Soofi, E., & Spirko‐Burns, L. (2022). Elaboration Models with Symmetric Information Divergence. International Statistical Review, 90(3), 499-524. Wiley. doi: 10.1111/insr.12499.
Spirko-Burns, L. & Devarajan, K. (2021). Supervised Dimension Reduction for Large-Scale "Omics" Data With Censored Survival Outcomes Under Possible Non-Proportional Hazards. IEEE/ACM Trans Comput Biol Bioinform, 18(5), 2032-2044. United States. 10.1109/TCBB.2020.2965934
Spirko-Burns, L. & Devarajan, K. (2020). Unified methods for feature selection in large-scale genomic studies with censored survival outcomes. Bioinformatics, 36(11), 3409-3417. England. 10.1093/bioinformatics/btaa161