Tech4Life - Tech4All

It is safe to say that the most difficult thing about collecting sensory data is being able to do it at scale. Ingesting and processing hundreds of thousands of data updates per second and being able to derive insights in real time proves to be a distinct challenge. During my talk, we will look at how 10 years ago Google solved this problem to facilitate itself. These advancements have opened the door to an entire new set of tools, including some newer Machine Learning capabilities, provided through Google for your own use.

The use of visible light to study the human body dates back to when Hippocrates used the first endoscope. While medical imaging with x-rays, gamma rays and radio-waves has revolutionised our ability to diagnose and treat disease over the past 40 years, there has been relatively little clinical advancement based on using the light that we interact with every day. I will describe how our laboratory is using the visible and infrared light spectrum to shed new light on cancer, from the diseases development to its response to treatment.

Respiratory and other close-contact infectious diseases, are major killers in much of the developing world. Mathematical models are essential to understand how these diseases spread and identify how best to control them. How people behave and interact during a large outbreak of an infectious disease directly impacts, not only the spread of infection, but also the efficacy of control strategies. And, the economic implications are wide-reaching. We develop mathematical models based on new data, which will help us gain valuable insight into the spread and control of diseases.