Neuro-based Data Science

In the winter of 2018, Peter asked me to prepare a data analysis course for absolute beginners. Throughout the spring, I made a rough sketch of what I wished I knew about data analysis when I was in the master’s program. The result was a 12 week course during the summer of 2019 where my students learned how to set up their work environment in python, structure their data in pandas & numpy and use matplotlib & seaborn for quick data viz.

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Computational Cognition & Deep Learning

I attended the Neuromatch Academy Summer School in 2020. There was a lot to learn and some real hours of work that I invested there. To put it simply, it was intense. There was a lot I learned and wanted to take something cool and forward-looking back to share with my uni comrades. At the time, I had already made it a hobby to read new comp-neuro and deep learning papers during the weekend, so I made a reading seminar out of it.

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Real-World Neuroscience & Beyond

In the summer of 2021, I read Buszaki’s book, The brain from inside out . It gave me a lot to think about my own work in human neuro-ethology and how it relates to the broader neuroscientific enterprise. Inspired by further readings, I conducted a seminar geared towards advanced level MSc and BSc students, where we read recent papers that have stressed the importance of ecological validity and investigated natural behaviors in the pursuit of understanding the brain.

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