BSc. Applied Mathematics, BA. Neuroscience
MSc. Biotechnology, Brown University, USA
Rapidly identifying therapeutics of Alzheimer’s Disease using millions of Drosophila larvae and amortized inference.
Alzheimer’s Disease (AD) affects millions of people worldwide, yet the limited treatments address only the physiological symptoms instead of the cause of pathogenesis. The goal of this PhD project is to establish a new pipeline for measuring AD phenotypes that leverages the advantages of Drosophila as a model system for circuit studies and links probabilistic behavior to disease progression. The pipeline builds on automated machine learning to rapidly analyze data from millions of larvae.