Anat Zimmer, PhD

K. Carole Ellison Fellow in Bioinformatics

Anat Zimmer

Dr. Anat Zimmer’s academic career started with a BSc in computer science and biology at the Hebrew University of Jerusalem. In addition to her coursework, she worked for Intel Corporation, and in a molecular-biology lab, studying the ubiquitin system in yeast. Next, she perused a master’s degree (MSc) at the Weizmann institute at the lab of Prof. Uri Alon, in the Department of Molecular Cell Biology. Her MSc project was to characterize the proteomic response of cancer cells to four anti-cancer drugs provided by the Merck Serono pharmaceutical company. The work included tissue culture and lab techniques, operating microscopy systems and developing image analysis software. She continued in Uri Alon’s lab for her PhD, and her main project was to find a method that will predict the effect of cocktails of three or more drugs on cancer cells and bacteria using only a small number of experiments. Her group succeeded to find such a method which uses measurements of single and pairs of drugs at several doses, to accurately predict the effect of all combinations of three and four drugs at all doses. During her PhD studies, She was also involved with formal and informal education. She taught a Matlab course for MSc and PhD students at the Weizmann institute, along with an advanced light microscopy course. She coordinated an afternoon activity in science for excelling junior-high students, and gave lectures to and participated in many activities with the nonscientific community to share her scientific knowledge with them.

PhD, Department of Molecular Cell Biology, Weizmann institute, Rehovot, Israel. area of studies: systems and computational biology
Adviser: Prof. Uri Alon.

M.Sc. Department of Molecular Cell Biology. Weizmann Institute of Science, Rehovot, Israel. area of studies: systems and computational biology
Adviser: Prof. Uri Alon.

B.Sc. Computer Science and Biology , Hebrew University of Jerusalem, Israel.

Data Science, Data Analysis, Computational Biology, Programming, Image Analysis, Molecular Cell Biology, Cancer Biology