Creating models of computation to study natural systems of information processing and communication. A biological signalling network can be viewed as a strategy: it determines how an organism behaves, and it also is under pressure to be efficient. If we abstract these networks to the level of computational machines under some real-world constraints and cost functions, then we can derive a complete relationship between environment and behavior. My goal is to show that mathematical models can predict principles of neural network organization on the levels of individuals and communities.Hire me:
I graduated in May 2017 with a degree in Computer Sciences and Mathematics from the University of Wisconsin-Madison.
Please download my résumé if you are interesting in collaborating.