Miranda L Lynch

I am a quantitative scientist and applied mathematician, and my education and career trajectory have always had an interdisciplinary focus, combining mathematics, chemistry, and biology. I have a Master’s in Integrated Science (Mathematics and Biology) from University of Colorado, Denver, and a PhD in Statistics from the Department of Statistics and Computational Biology at the University of Rochester. I have deep appreciation for the power of mathematics and computational approaches in helping us comprehend complex systems. My research involves two primary foci. First, I am interested in how computational tools and modeling can help us understand protein interactions, aggregation, and oligomerization. I also pursue questions in quantitative image analysis, including integration of multimodal microscopy data, and using quantitative tools and advanced imaging methods to detect nanoscale crystals in crystallization experiments. I work extensively with stochastic process models, including percolation theory and applications of stochastic geometry.