Bio

I am a PhD Candidate in the Department of Integrative Biology at UT Austin, advised by Dr. Claus O. Wilke. As a computational evolutionary biologist, I’m broadly interested in population genomics, statistical inference, and machine learning. My dissertation work primarily seeks to improve methods for evolutionary inference on biological sequence data, using both deep neural networks and statistical modeling. My graduate education has included 3 years as a trainee on the Biomedical Big Data Training Grant in the Department of Statistics and Data Science. During my undergraduate at KU, I studied theoretical population genetics in the lab of Dr. Maria E. Orive.

Education

University of Texas at Austin | Austin, TX

Ph.D. in Ecology, Evolution and Behavior | August 2017 - Present

University of Kansas | Lawrence, KS

B.S. in Ecology and Evolutionary Biology | August 2013 - May 2017

Mackenzie M. Johnson


Bio

I am a PhD Candidate in the Department of Integrative Biology at UT Austin, advised by Dr. Claus O. Wilke. As a computational evolutionary biologist, I’m broadly interested in population genomics, statistical inference, and machine learning. My dissertation work primarily seeks to improve methods for evolutionary inference on biological sequence data, using both deep neural networks and statistical modeling. My graduate education has included 3 years as a trainee on the Biomedical Big Data Training Grant in the Department of Statistics and Data Science. During my undergraduate at KU, I studied theoretical population genetics in the lab of Dr. Maria E. Orive.

Education

University of Texas at Austin | Austin, TX

Ph.D. in Ecology, Evolution and Behavior | August 2017 - Present

University of Kansas | Lawrence, KS

B.S. in Ecology and Evolutionary Biology | August 2013 - May 2017