People
Priya Panda, Ph.D.
Assistant Professor of Electrical Engineering, Yale University
What do you do with Data Science?
My research interests lie in Neuromorphic Computing: Energy-efficient design methodologies for Deep Learning, Novel learning algorithms for Spiking Neural Networks, Explainability and Robustness for Spiking Neural Networks, Developing emerging non-volatile memory-/ CMOS-based neural architectures for new computing scenarios (such as Adversarial Robustness, Lifelong/Continual Learning, Federated Learning, Stochastic Optimization etc.). My interest in data science is to see if we can use grounded theories to develop energy efficient algorithm-hardware co-design solutions.