Mathew Salvaris
Senior Data Scientist, Microsoft

Mathew Salvaris is a senior data scientist at Microsoft. Previously, Mathew was a data scientist for a small startup that provided analytics for fund managers; a postdoctoral researcher at UCL’s Institute of Cognitive Neuroscience, where he worked with Patrick Haggard in the area of volition and free will and devised models to decode human decisions in real time from the motor cortex using electroencephalography (EEG); and he held a postdoctoral position at the University of Essex’s Brain Computer Interface group and was a visiting researcher at Caltech. Mathew holds a PhD in brain-computer interfaces and an MSc in distributed artificial intelligence.

Sessions

11:05am–11:45am Thursday, September 12, 2019

Location: 230 A

Reference architectures for AI and machine learning

Implementing AI

Secondary topics: Deep Learning tools, Machine Learning

Mathew Salvaris (Microsoft), Angus Taylor (Microsoft)

Join Danielle Dean, Mathew Salvaris, and Angus Taylor to learn best practices and reference architectures (which have been validated in real-world AI and ML projects for customers globally) for implementing AI. They detail lessons distilled from working with large global customers on AI and ML projects and the challenges that they overcame. Read more.