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..43185bbc --- /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 conducting neurosurgical research in Canada and worked on a special 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. +