We use computational modeling to sharpen our research questions, and in the lab, we collect data and test hypotheses to improve our models. We use high resolution respirometry, potentiometry, spectrophotometry, fluorometry, light microscopy, modeling, and mathematical thinking to better understand how physiological function arises from large numbers, energy transformations, and autonomous 'control' phenomena. 

Our research focus encompasses measuring, and thinking deeply about, biological phenomena. Students that join the lab will create a personalized training plan involving several core development areas: 

• Critical analysis of research

• Mathematical thinking (no prior experience necessary) 

• Model-driven hypothesis development

• Experimental design

• Computational tools for data analysis and visualization

• Science communication (in its many forms)

We have some limited opportunities to work directly in the laboratory, and we will work hard to ensure that we can support as many students as possible. For self motivated and independent thinking students that aren't able to commit in-person time to the lab, we can structure training around learning and applying computational approaches and resources.