Natalie Davidson, MSc. UCLA Computer Science
- natalie.davidson@ inf.ethz.ch
- +41 43 254 0224
Biomedical Informatics Group
- SHM 26 B 3
I am interested in extending statistical models to gain deeper understanding of transcriptional dysregulation in cancer.
I am interested in understanding the role transcriptional dysregulation plays in cancer. Through my collaborations during my Ph.D., I have been able to conduct single cancer and pan-cancer analyses using RNA-Seq and Ribosome Profiling data. I typically use generalized linear models and generalized linear mixed models, but I am interested in extending to other models as the numbers of samples in cancer analyses grow. I am currently a part of the International Cancer Genome Consortium, where I integrate multiple transcriptional aberrations such as splicing, fusions, over/under expression, allele specific expression, and others in over 1,000 samples to identify cancer relevant genes and alteration patterns. I received my B.Sc. in computer science and minor in mathematics from University of California, Santa Barbara. I received my M.Sc. in computer science from University of California, Los Angeles under the advisement of Dr. Jason Ernst. I am currently obtaining my Ph.D from Tri-Institutional Program for Computational Biology and Medicine in New York, while conducting research at ETH Zürich.
Authors N Davidson, Kjong Van Lehmann, Andre Kahles, A Perez, Gunnar Rätsch