Join us

At all levels, emails that do not include the information requested below might not receive a reply.

Undergraduate students

All undergraduates in our lab are generally paid at the same hourly rate as in the UBRP program. Undergraduates are normally accepted only if they have at least some computer programming experience, but feel free to contact me for advice while you go about getting such experience through a basic programming class. Undergraduates must be willing to commit (conditional on things going well) to a minimum of 9 hours per week and a full year including a summer: a larger commitment is preferred. If you meet these requirements, please email me with a description of your interests and goals, the level of commitment you can make, the nature of your prior training in programming and in math, and an unofficial transcript showing what grades you got in which courses. If you meet the criteria and we have a position available, the next step will be a rigorous interview where we explain the project and its background to you, and watch how you solve problems. We encourage undergraduates to pursue partial funding through the UBRP and/or Space Grant programs. 

Graduate students

I am currently recruiting Ph.D. students interested in any of our current areas of research, as well as Ph.D. students whose own independent interests match well with the culture of the group. I typically do not accept Masters students except under the Accelerated Masters program as an extension of undergraduate research.

Some research areas that interest me right now (not all of which I will have funding for) are 

• protein evolution, including 

  • astrobiology questions about the very earliest protein-based life and how proteins vary by environment and evolutionary age

  • connecting amino acid substitution patterns in evolution to protein structural information and deep mutational scanning experimental data

  • detecting selection on intrinsically disordered proteins that have little sequence conservation

  • evolution of protein interface networks

• the causes and consequences of extremely high (human-like) deleterious mutation rates, including consequences for 

  • background selection and demographic inference

  • clinically relevant mutation load

  • sexual selection theory

  • conservation genetics

• what "fitness" even means in the face of complex life cycles, density-dependence, and/or evolutionary transitions in individuality

• the evolution of rates of error in molecular processes (e.g. transcription, translation, the various kinds of somatically inherited damage that accumulate during aging to cause senescence and cancer)

• the coevolution of dormancy and the genetic variation it helps maintain

• the dynamics of host-parasite arms races where an asexual parasite's rate of adaptation is derived from population genetic considerations and may not entirely swamp that of a much more sexual host

• pandemic preparedness and the benefits of non-pharmaceutical interventions against the spread of infectious disease (for individuals vs. populations vs. subpopulations) 

Other projects are also possible.

If you think there is a match, please send me a personal email that clearly expresses where you think the match is, typically but not necessarily with specific reference to one of the topics listed above. The email should not read as though you sent a similar letter to many different researchers, substituting in the titles of some of my papers, keywords, perhaps elaborated on by AI. Instead it should read like something you wrote especially for me, given what you have read about my research. You can tell me what you have done before, but also describe what you are looking for in a Ph.D. topic in whatever idiosyncratic terms best work for you and wouldn't just as easily apply to other applicants. For some people this might be based on topic, for others approach (e.g. math vs. computation vs. data analysis), for others some other higher level criterion best expressed by non-exclusive example. Attach whatever application materials you have, which might just be an unofficial transcript showing what courses you have taken and what grades you got in them. You will eventually also need 3 reference letters (typically from research advisor(s) and/or instructors who got to know you), a c.v., and a personal statement. Here is an example of a well-written personal statement from someone accepted into the lab - notice that they have research experience but not publishable results.

If I see a possible match from your email, we will set up one or more zoom calls. We might have separate calls for different purposes: exploring whether there is a match of research interests is quite distinct from you interviewing me about my mentoring style, and also different from me interviewing you to judge whether I will sponsor your application. Interviews are intended to assess your aptitude. E.g., based on your background, I will choose subject areas that I can expect you to be familiar with, and ask questions to test your retention of knowledge in those areas, but I will not expect knowledge in areas that you have not previously studied. In the interests of non-discrimination, I do not look for "cultural fit" - what matters is whether I think you will do well in Ph.D. research, in an area in which my mentorship makes sense. Our lab welcomes all kinds of diversity, including neurodiversity.

Formal applications can go through multiple different Ph.D. programs. In my home department of Ecology & Evolutionary Biology here, you will need to be accepted both by the department and by a faculty sponsor such as myself, so contacting me directly is critical. Alternatively, faculty sponsorship is much less important for the Arizona Biological and Biomedical Sciences Program. After three rotations there (including one with me), you can transfer into my lab via either the Biochemistry and Cellular Molecular Biology graduate program or the Graduate Interdisciplinary Program (GIDP) in Genetics. If you are mathematically inclined, you can apply to the GIDPs in Applied Math or Statistics. Contacting me earlier allows us to discuss the best program for you: the choice has consequences for teaching opportunities and other funding sources, for coursework and comprehensive exams, for rotations, and for the composition of your advisory committee, even if you end up doing the same thesis research.

Postdocs

Applications that do not clearly demonstrate familiarity with our research will not receive a response.

There is currently one position open, to study amino acid substitution matrices, both analyzing them for biophysical insight about mutation and selection, and improving phylogenetic methods via improving them. If this is an area of interest, please reach out!