Pavan Agrawal

Thanks Horst!

GitHub - agrawallab/DANCE: Codes and Classifiers for the DANCE Manuscript Codes and Classifiers for the DANCE Manuscript. Contribute to agrawallab/DANCE development by creating an account on GitHub.

All code, hardware schematics, and analysis pipelines are open-source and available on GitHub.

github.com/agrawallab/D...

This work was supported by the Department of Biotechnology, India and infrastructure at Kasturba Medical College, Manipal, MAHE.

We acknowledge the co-authors for the sustained effort in validating the pipeline across variable environments.

Paper out now in eLife: DANCE. We combine machine learning with accessible hardware to quantify Drosophila social behaviors.

Low-cost behavioral rigs are not a compromise, they are a design philosophy. Accessibility changes the questions we can ask.

elifesciences.org/articles/105...

Tool building often moves the field faster than incremental experiments. I learned this from my mentor Loren Looger and his approach to designing new tools for neuroscience.

I work on behavior, stress biology, and genomics using Drosophila and complementary systems. I am interested in simple tools, circuit principles, and training early researchers. Posting occasionally about methods and research observations.

🚀 We’re hiring! Two fully funded PhD positions in Neuroscience & Behavior at the Agrawal Lab, Centre for Molecular Neurosciences, KMC, MAHE. 🧬🐛
See the advert & apply.
🔬 #PhDOpening #Neuroscience #Drosophila

Pavan Agrawal described some ingenious low-cost assays and analysis techniques to study fly behaviour. His talk explored the effects of social isolation on sleep and how silencing/activating different neuronal subgroups rescued these effects.

#EMBOneuroSleep

Amazing time indeed. Thank you so much, everybody, and @melnattur.bsky.social particularly! 🐙