The CPBF Seminar Series brings distinguished scientists to Princeton's campus to share recent research studying the phenomena of life. Topics range from single molecules to collective behavior in large populations, and span the intersection of physics and the life sciences. The seminar is organized by a committee of graduate students, postdoctoral fellows, faculty and staff. Current committee members are:
- Po-Ta Chen, Grad Student
- Shengkai Li, CPBF Fellow
- Christopher Lynn, CPBF Fellow
- Rahul Munshi, CPBF Fellow
- Diana Valverde, Graduate Student
- Beatrice Ramm, CPBF Fellow
- Maryam Kohram, CPBF Fellow
- Lee Susman, CPBF Fellow
- Andrew Leifer, Assistant Professor
- Svitlana Rogers, CPBF Coordinator
Please contact Svitlana Rogers at skrogers@princeton.edu to suggest speakers or to express interest in joining the committee.
My lab studies the brains of larval fruit flies as models of neural computation. We are interested in the rules by which the larval brain transforms sensory input into motor output to navigate an uncertain environment, how the larva’s brain changes these rules as it learns new information, and how these rules and changes are encoded in the…
We are interested in how physics at the colloidal scale instantiate life in biological cells. While principles from physics have driven recent paradigm shifts in how collective biomolecular behaviors orchestrate life, many mechanistic aspects of e.g. transcription, translation, and condensation remain mysterious because…
Animal genomes are folded into loops and topologically associating domains (TADs) by CTCF and loop extruding cohesins. These loops and domains are thought to play critical roles in regulating gene expression by regulating long-range enhancer-promoter interactions. But whether CTCF/cohesin loops are stable or dynamic structures was…
The urgency to probe biological dynamics is impeded by a major challenge: the large dynamic range of biological processes—interactions of molecules within milliseconds can lead to changes across the whole-organism over days to years. It calls for measurements with both high spatiotemporal resolution and large-scale long-term coverage. However,…
To understand computation in the brain, one needs to understand the input-output relationships for neural circuits and the anatomical and functional properties of individual neurons therein. Optical microscopy has emerged as an ideal tool in this quest, as it is capable of recording the activity of…