
Researcher in Biomedical Image and Time-Series Analysis
With a strong foundation in computational biology, data processing, and machine learning, I am passionate about unraveling the intricate relationship between animal behavior and neural activity. As the fields of Biology and Medical Sciences experience an explosion of data generation, I find it thrilling to address the growing demand for advanced data analysis and push the boundaries of scientific understanding. The rise of more powerful, flexible, and generalizable deep learning models presents exciting new opportunities.
My research focuses on developing innovative deep learning methods to connect animal movement with neural activity, leveraging unsupervised and transfer learning techniques to reduce reliance on manual labeling. I am particularly interested in exploring how biological perturbations—genetic, pharmacological, and social—influence behavior, with the ultimate goal of creating a comprehensive framework to deepen our understanding of behavioral dynamics.
I have recently been awarded the prestigious Emmy Noether fellowship, I am greatly excited about starting my own group and continuing my research journey!
Recent Projects
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I will soon be on the look out for Ph.D. students. Reach out to me!