8 | Yana Bromberg on getting creative with machine learning

06/28/21 • 51 min

Yana Bromberg is a Professor at Rutgers, where she teaches computers to speak the functional language of biological sequences. In this episode, she talks with Itai and Martin about the amazing creativity of machine learning, the search for weirdness, and her superpower of translating things from one field to another.
Her work is being recognized from virtually all sides, including NASA and NIH. She has received a CAREER award from the National Science Foundation. Yana asks deep fundamental questions whose answers are very important for improving our health, preserving our environment, and, as she writes on her website, also to figure out if “Well... did we really start as green slime?!”

For more information on Night Science, visit www.night-science.org

For more information on Night Science, visit www.night-science.org

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7 | Michael Strevens on how science really works

In this episode, Itai and Martin talk to New Zealander Michael Strevens, who – after studying mathematics and computer science – became professor of philosophy at New York University. Michael recently published an amazing book on the scientific method, which not only manages to reconcile crucial ideas by Karl Popper, Thomas Kuhn, and Paul Feyerabend, but is also immensely readable. In this episode, he discusses the main ideas of the book with your hosts, including the crucial difference between what scientists say in their official communications and in the privacy of their labs, what makes modern science such a powerful “knowledge machine”, and why it took humanity 2000 years after Aristotle to get there.

For more information on Night Science, visit www.night-science.org .

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9 | Ben Lehner on how to start your own scientific field

Ben Lehner is a Professor and Coordinator of the Systems Biology Programme at the Centre for Genomic Regulation in Barcelona. In this episode, Ben talks with us about how careerism is bad for science. He describes how he avoids being limited to the confines of individual fields and disciplines and his strategy for dealing with the unpredictability of science. He also discusses with us how to not get attached to any particular idea in order to really make progress.

In his work, Ben explores how one can predict the biological differences among individuals from their genomes. His tools are experiments and computational analyses, mostly working on yeast and worms. Ben has been awarded many prestigious awards, including the Gold Medal from the European Molecular Biology Organization.