In natural organisms, tissues form in developing embryos through complex processes that dictate what genes are expressed in which cells and when. The history of gene expression in a cell ultimately determines the cell's fate, such as whether it becomes a neuron or a skin cell. During development, cells interact with each other and the environment, such that the spatial location of a cell in an embryo affects its gene expression and hence the fate it will adopt. Therefore, understanding spatial patterns in gene expression is essential to understanding tissue growth. How do these patterns arise? How do they change over time? How do cell-cell and cell-environment interactions influence patterning? I am interested in developing mathematical theory to help answer these questions, leveraging techniques from signals and networked systems analysis. I am also working to translate theory into practice, so that synthetic biologists can make intelligent design choices guided by mathematical predictions and insights.
|2015 - present||
M.S./Ph.D. in Electrical Engineering (anticipated)
University of California, Berkeley (Berkeley, CA)
|2011 - 2015||
B.S. in Electrical Engineering, Minor in Biology
Stanford University (Stanford, CA)
mindylp (at) eecs (dot) berkeley (dot) edu