diff --git a/_posts/blog/2019-08-13-Ang-Li-Three-People-in-Turing.md b/_posts/blog/2019-08-13-Ang-Li-Three-People-in-Turing.md new file mode 100644 index 00000000..9f64a932 --- /dev/null +++ b/_posts/blog/2019-08-13-Ang-Li-Three-People-in-Turing.md @@ -0,0 +1,44 @@ +--- +layout: post +title: "Three amazing people in Turing" +categories: blog +date: 2019-08-13 +modified: +share: true +author: Ang Li +--- + +Some amazing people I met at the Turing. :) + +## Bo Wang + +Bo Wang is a visiting researcher at the Turing and work with Professor Terry Lyons based at Oxford. +I know him because he is one of the organizers for Data science for mental health, an interest group aiming +to lead to suitable clinical interventions for mental health by using multi-modal data. Bo is interested in +developing a clinically useful application for mental health through his expert in deep learning. He’s also working +on some other projects. One project he’s working on is to analyze speech signals of individuals with mental +disorders and try to help identify early high risk individuals and aid the diagnosis processing in +psychiatry. He believes the key of such success could benefit more from novel methods integrated with prior +knowledge and correct data, and we could not only rely on the magic of AI. He’s very helpful and helped me +with establishing the azure server and applying for credits, which is crucial for my work in the Turing. Bo may +come back to China one day and it would be exciting if I can collaborate with him on some project in the future. + +## Alex Campbell +Alex Campbell is an enrichment student at the Turing and a PhD candidate at the University of Cambridge. During his Masters, Alex used deep learning technology in financial data mining and then he switched his main interest to +brain science and mental disorders. Kirstie introduced Alex to me as he is also worked on projects using neuroimaging +data. One of his interests is to apply advanced AI models to data on human brains. Alex shared his recent work with me, +where he used a sophisticated machine learning model on a large-sample fMRI dataset to derive pathological brain circuits +in autism. Alex is very helpful and really an expert at deep learnig models. He suggested to me that I could use Siamese +network to index maturity in my project, which is very useful. + +## Anujan Poologaindran + +Anujan Poologaindran was a neurosurgeon in Canada and worked on a magic surgery for treatment-resistant depression +patients. His work is very meaningful and helps many depressive patients to start a new life without the risk of +suicide. However, some of the patients tend to respond more to this surgery, which motiviated Anujan to further +investigate this heterogeneity and thus pursue a PhD degree at the University of Cambridge. His project here is pretty +cool and aims to identify the depression patients who would be most likely to respond to this surgery and find the +optimal surgery target for each individual, involving neurosurgery, neuroimaging and machine learning. He also +believes that the curcuit of this surgery targets is a transdiagnostic biomarker, and thus it could be useful to apply +this surgery to all patients who have strong suicidal urges. I really love his ideas and hope he can move this +promising field forward and help with more patients.