Hanlin Tang

Hanlin Tang

Principal Engineer, Artificial Intelligence Products Group

Hanlin Tang, Ph.D. is a Principal Engineer at Intel’s AI Products Group, where he directs computer vision research and applications. His team is also responsible for algorithm-hardware co-design of next generation accelerators, and federal AI projects. Hanlin joined Intel from its acquisition of the deep learning startup Nervana Systems. At both Intel and Nervana, he has contributed to the development of deep learning frameworks, and deployed algorithms in domains ranging from remote sensing to computational neuroscience. Hanlin received his Ph.D. from Harvard University, where he applied recurrent neural networks to study the human visual system. His research has appeared in scientific journals such as Neuron, Scientific Reports, and eLife.