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Brianna Flynn
I am a first year PhD student in Dr. Vagheesh Narasimhan’s lab. I am broadly interested in developing deep learning methods to connect medical images with genomic data and analyzing ancient DNA sequence data to track the frequencies of medically relevant alleles over human evolutionary history. I received my BS in Biology at the University of Texas at Austin where I conducted research to characterize the viral diversity of North American bee populations using metagenomic analysis of RNA sequencing data under Dr. Nancy Moran.


Emily Javan
I am a PhD student in Dr. Lauren Meyers’ lab and member of the UT COVID-19 Modeling Consortium. 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 focused on the global COVID-19 epidemic. Other interests include the spread of monkeypox and Ebola virus disease in the DRC and the impact of terrorist attacks on health-care on response efforts. 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
I am a fourth year PhD student in the Department of Integrative Biology, advised by Dr. Claus Wilke. As a computational evolutionary biologist, I am broadly interested in population genomics, evolutionary inference, and machine learning. My dissertation work involves developing convolution neural networks for population genetic inference. I received a BS in Biology from the University of Kansas, where I conducted research in theoretical population genetics with Dr. Maria Orive.


Evan Ott
I am a sixth year PhD student in the Department of Statistics and Data Sciences, advised by Sinead Williamson. My main areas of research are sparse graph neural network models for real-world applications and efficient Bayesian neural networks for modeling uncertainty in critical problems like medical imaging. I completed my BS in Physics and BS in Computer Science at the University of Texas at Austin.


Annie Zhou
I am a third 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.