Welcome to The Zaman E3 Lab
Engineered and Experimental Evolution
Much of our work focuses on host-parasite coevolution both computationally using populations of self-replicating computer programs (sort of like computer viruses), and experimentally in the lab with bacteria and their viruses (bacteriophage). But that's not all! We're deeply interdisciplinary, and broadly interested in ecology and evolution.
Bhaskar is a PhD student in the Department of Ecology and Evolutionary Biology. He graduated from the Indian Institute of Science with a BS+MS dual degree in 2021. He is broadly interested in studying living systems using theoretical tools under the umbrella of complex systems and has formal undergraduate training in biology, with special emphasis on molecular biology and systems theory. Most of his research until now has been either on engineering biological systems (synthetic biology) or studying their equivalents in artificial environments (artificial life). He is currently working to understand how complexity evolves in living systems and how evolving entities become more evolvable.
Matthew is a postdoctoral fellow associated with the Department of Ecology and Evolutionary Biology, the Center for the Study of Complex Systems, and the Eric and Wendy Schmidt Ai in Science postdoctoral program. His doctoral research focused on developing scalable digital models of multicellularity. His ongoing research interests include evolvability, open-ended evolution, major transitions in evolution, phylogenetic methods, high-performance computing, and open source software.
Megan is the current Lab Manager of the ZE3 lab. She graduated from Central Michigan University with a degree in Conservation, Ecology, and Evolutionary Biology in 2021. She is broadly interested in host-parasite coevolution, especially regarding bacteriophage therapy applications. Her current project is focused on phage training through coevolution. She plans on attending the University of Michigan School for Environment and Sustainability for her Master’s degree fall of 2023.
Siliang graduated from Zhejiang University with a B.A. in Biological Sciences in 2018. He focused on Entomology and Phylogenic Analysis in his undergraduate research. When entering graduate school in 2019, Siliang joined Dr. Luis Zaman's lab while collaborating with his primary advisor Dr. Jianzhi Zhang. He is expanding his interest in computational evolution with an emphasis on digital organisms, and hopes to use those systems to understand the more opaque aspects of the evolutionary process.
Lamese is an undergraduate student at the University of Michigan looking to major in Molecular, Cellular, and Developmental Biology. She currently hopes to become a clinical Pathologist but is also deeply fascinated by concepts in evolutionary biology. She is interested in expanding her experiences and understanding of the evolutionary process by studying bacteria-phage interactions, digital organisms, and interacting with experts. Some of Lamese's interests beyond science include oil painting, reading, and playing soccer.
Alexander is now an Assistant Professor in the School of Computing at Grand Valley State University
Monica is now a data scientist at Rancho Bio
Katie Torkelson-Regan is now a teacher at Washtenaw Technical Middle College
I became interested in evolution because of an undergraduate computer science class. It's still amazing to me that we can bottle up evolution in an algorithm, and yet are still just scratching the surface of understanding the biodiversity and complexity it has produced.
One of the challenges is that evolution creates diversity and complexity, which then strongly influences further evolution. Untangling this feedback loop between what evolution produces and what then becomes selectively favorable motivates much of my work. Host-parasite coevolution is a prime instance of this complex feedback loop at what I consider the core of evolutionary biology.
Coming to evolutionary biology via computer science has left its marks on my academic interests. I study host-parasite coevolution using a mixture of computational and microbial experiments. I treat computer systems as another experimental system, much like E. coli and Elephants are two living systems that can be studied in surprisingly similar ways.