Dipanjan Sengupta

ML Research Scientist, Brain-Inspired Computing Lab

Dipanjan Sengupta is a research scientist in Brain-Inspired Computing Lab, Intel Labs. He holds a Ph.D. in Computer Science from Georgia Institute of Technology. His core research is to develop learning algorithms and technologies in the intersection of neuroscience and machine learning. His current research at Intel spans the areas of memory-augmented neural networks (MANNs), approximate nearest neighbor search, and complementary learning systems (CLS) theory of human learning and memory.

Expertise:

  • ML Algo and Theory
  • Neuroscience
  • Parallel Computing
  • Reinforcement Learning (RL)