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Emily Javan
PhD student in Ecology, Evolution, and Behavior

I am a first year PhD student in Dr. Lauren Meyers’ lab. I am broadly interested in disease spread within and between human and animal populations, as well as how vaccination and wildlife management can prevent epidemics. Currently, I am interested in the spread of monkeypox and Ebola Virus Disease in the Democratic Republic of the Congo along travel networks. I received my BS in Applied Mathematics with a minor in Evolution, Ecology, and Biodiversity from UC Davis and an MS in Population and Conservation Biology from Texas State University.  


Mackenzie Johnson
PhD student in Ecology, Evolution, and Behavior

I am a 2nd year PhD student in Department of Integrative Biology, co-advised by Drs. Mark Kirkpatrick and Claus Wilke. As a computational evolutionary biologist, I am broadly interested in genome evolution, the evolution of sex and sex determination, and phylogenetic inference. My dissertation work will include projects in protein and sex chromosome evolution. I received a BS in Biology from the University of Kansas, where I conducted research in theoretical population genetics with Dr. Maria Orive.

Karl Muller
PhD student in Neuroscience

I am a 2nd year Neuroscience PhD student working in Mary Hayhoe's Vision, Cognition, and Action VR Lab. I am interested in the neural mechanisms underlying visually guided natural behaviors. The main project I work on deals with a unique dataset obtained by combining a mobile eye tracker with a portable motion capture suit. We can use this apparatus with human subjects to analyze the visual input and motor output associated with complex tasks such as navigating uneven terrain. Using this dataset, I hope to combine tools from computer vision, statistics, and neuroscience to learn more about how the brain uses visual information to generate coordinated movements.


Jennifer Starling
PhD student in Statistics and Data Sciences

Website: jestarling.github.io

I am a third year Ph.D. student in the Department of Statistics and Data Sciences.  My research interests are in developing flexible Bayesian models for structured data, functional regression, and causal inference, with applications to public health, obstetrics, and personalized medicine.  Prior to joining UT Austin, I completed my MS in Statistics at Texas A&M University, and my BS in Mathematics and BA in Theater at Virginia Tech.


Annie Zhou
PhD student in Biomedical Engineering

I am a second year PhD student in Biomedical Engineering. My research interests are in developing high-speed two-photon imaging techniques. In Dr. Andrew Dunn's Functional Optical Imaging Lab, my goal is to leverage statistics and machine learning to develop novel algorithmic approaches for increasing two-photon scanning speeds for in vivo neurovascular studies. I completed my BS in Biomedical Engineering at the University of California, Davis.