Our lab is driven by the objective of science for all. Science continues to be primarily an exclusive domain that does not represent the diversity of our larger population. And, individuals outside of science careers often have relatively small roles in decision-making about the socio-scientific issues we face. As a result, science continues to suffer from the lack of diverse perspectives that influence and expand the questions we ask, what we observe, and how we interpret data. Our research addresses two general problems: 1, how can we develop a diverse next generation of biologists?
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Mathematical & Computational Biology
Computational models are essential tools that can be used to simultaneously explain and guide biological intuition. With increasingly high-resolution, high-throughput, and dynamic experimental data, computational biologists are better equipped to develop informed models that aim to characterize complex cellular responses and direct experimental design.
Meta-analysis consistently show ubiquitous responses to climate changes, along three primary dimensions: species distributional, phenological and phenotypic changes.
A primary cilium is presented as a meso-scale device that senses and translates extracellular information into intracellular biochemical reactions. These input cues manifest in a variety of forms ranging from chemical to mechanical ones. Deregulation of these information transfer leads to human diseases known as ciliopathies. Due to its diffraction-limited dimension and semi-membrane-bound topology, a primary cilium has been a daunting compartment to visualize and manipulate signaling events on site.