I strive to create a supportive environment where members expand their creativity and independence. I encourage and help students and postdocs in my lab to develop their own projects that they carry through the publication process. While most of our research is focused on three main areas, projects can span any topic in population genetics. As many projects are related to each other, trainees work collaboratively and help each other on their projects. Trainees in my lab have been exceptionally successful at securing their own funding, publishing papers, and moving on to excellent positions in academia and industry after leaving the lab. Check out where lab alumni have ended up!
If you are interested in a postdoc position, please email Kirk (firstname.lastname@example.org).
Please include a CV, short (1-2 pages) description of research interests and ideas for possible projects, and contact information for 3 references. Please put “Postdoc position” in the subject line. Informal inquiries are also welcome.
Interested graduate students should contact me by e-mail.
I am a member of three graduate programs at UCLA:
Ecology and Evolutionary Biology program: This program is focused on ecology and evolutionary processes. Students chose a research group as they are admitted into the program.
UCLA Bioinformatics program: This program is focused on computational methods used in biological sciences, including population genetics. Students complete several rotations prior to selecting a permanent group to join.
Genetics & Genomics: This is a new graduate program at UCLA. As the name implies, it is focused on Genetics and Genomics, including population genetics. Students complete several rotations prior to selecting a permanent group to join.
Students are highly encouraged to apply for both internal and external funding (e.g. NSF Graduate Research Fellowship).
I am looking to recruit motivated undergraduate students who can play prominent roles on projects. Interested students should contact me by e-mail.
Experience with running programs from the command line, shell scripting, using a cluster, writing programs/scripts in C/C++, Perl, or Python to parse large files, and using R. Some background on genetic variation is required. Interest in population genetics a major plus.