We encounter big data in every subject in science owing to its current rapid technology advancing. With accumulated data sets for some disorders and tumours, ranging from behaviour, symptom data to genetic and proteomic data, Professor Jianfeng Feng (University of Warwick, Fudan University, FRSA, FRSB) has developed biophysical models and abstract models to explore the computational principles in single neuron and neuronal networks.

In the event, Professor Feng will first explain how to collect data and analyze data in some largest datasets in the world in AI, in particular brain-inspired AI, and brain science. With the help of data at molecular, cellular, behavior and environment level, we are able to identify the roots of various mental disorders, and subsequently come up with successful and novel treatment approaches. Some examples on depression and autism will be included in our talk. Inspired by the progresses from brain science, his team are developing novel AI algorithms to tackle various practical issues ranging from automatic driving to intelligent medicine, and the next generation AI.

Professor Jianfeng Feng (FRSA, FRSB)

• Professor of computer science, University of Warwick
• Dean, Institute of Brain-inspired AI; Dean, School of Data Science, Fudan University
• Deputy Director, Shanghai Brain and Brain-inspired Intelligence Centre
• Fellow of Royal Society of Arts
• Fellow of Royal Society of Biology
• Royal Society Wolfson Research Merit Award