معرفی
Ella Batty is a Senior Machine Learning Research Scientist at Harvard University's Kempner Institute, specializing in NeuroAI research that bridges computational neuroscience and machine learning. She focuses on understanding neural computation principles through data-driven modeling, particularly in decoding complex neural responses and behavior.
- Active in educational program development for Harvard's Kempner Institute
- Board Member at Neuromatch (nonprofit advancing computational science education)
- Lecturer in Harvard PhD Program in Neuroscience
Her research explores how neural circuits process complex data, using computational modeling and high-performance computing to develop encoding/decoding frameworks for neural signals. This includes innovative work on automated behavioral video analysis and retinal neural response modeling.
Key publication trends include:
- Bayesian decoding methods for neural data
- Deep learning applications in retinal processing
- Neural network modeling of behavioral patterns
- Development of spike sorting pipelines
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