In this podcast the author explains a paper to me, your host, Professor Sune Lehmann (https://sunelehmann.com). The participants are authors of a paper in network science or data science. Sometimes I feature a group of co-authors! The intended audience is PhD students, PostDocs and other scientists. The idea is to start with a bit about the paper's author, the idea for the paper. Then talk about the research itself. And we’ll end by gossiping about the reviewing process, etc. The whole thing is based on the idea that papers are so formal. And that when two people talk to each other informally, it’s often more fun – and tends to get ideas across more effectively.
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episode 2: Rosemary Braun - It's Physics All the Way Down
Today's guest is Rosemary Braun, an associate professor at the Department of Molecular Biosciences at Northwestern University.
Rosemary works at the interface between mathematics, statistics, physics, and biology, where she develops and applies powerful computational methods to investigate living systems at multiple scales — from the atomic level, to the gene level, to the systems level, to the tissue/organismal level, and finally to the population level.
We talk abou her 2018 paper "Universal method for robust detection of circadian state from gene expression" (1).
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References
(1) Rosemary Braun, William L. Kath, Marta Iwanaszko, Elzbieta Kula-Eversole, Sabra M. Abbott, Kathryn J. Reid, Phyllis C. Zee, and Ravi Allada. Universal method for robust detection of circadian state from gene expression. https://www.pnas.org/doi/10.1073/pnas.1800314115