When I was an undergraduate, I got interested in computational algorithms, but couldn't let go of my long-time fascination with natural systems. I pasted the two together and started my first research project writing a simulator for viral capsid assembly.

• persistence
• ability to learn new ideas/approaches/systems
• basic computer and stats/math competence
• clear writing and communication
• critical and creative thinking

I learned some skills (like computer programming and statistical inference) in courses as an undergraduate and graduate student. I've gained most of my skills during research by talking with colleagues, consulting the literature, and trial-and-error.

• What changes in gene expression facilitate organismal adaptation?
• What's the role of environmentally-responsive gene expression in adaptation to new or changing environments?
• How do [sometimes invalid] statistical assumptions affect the accuracy of forensic genetic identification?