Daniel Alexander
@fishpiechicken
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Professor of Computer Science. interests in computational modelling, machine learning, medical imaging, data analysis.
Joined June 2019
RT @stats_UCL: Exciting Research fellow position at our department, jointly with Computer Science and the EPSRC CHAI Hub, on causal machine…
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RT @NeilOxtoby: Huge thanks to our coauthors @lasgarba, Nick Fox, @FBarkhof, @jmschott, the paper reviewers, and our many wonderful colleag…
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RT @NeilOxtoby: D3PMs have provided insights across a range of conditions (Alzheimer’s and beyond) including disease biomarker timescales,…
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RT @NeilOxtoby: Pathophysiological D3PMs include network, dynamical systems and mechanistic combinations models. As with phenomenological D…
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RT @NeilOxtoby: Pathophysiological D3PMs model disease mechanisms that may cause pathology to ‘appear’ or ‘spread’ across the brain. https:…
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RT @NeilOxtoby: Phenomenological D3PMs include discrete, continuous, spatiotemporal, and subtyping models. Each provides their own unique i…
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RT @NeilOxtoby: We provide a single framework for D3PMing that integrates phenomenological and pathophysiological models. D3PMs are directl…
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RT @NeilOxtoby: D3PMs are an emerging set of interpretable computational tools that infer long-term disease timelines from short-term data.…
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Fantastic collaboration to bring this review together!
New paper alert! Our review paper on Data-Driven Disease Progression Modelling (D3PM) was published in @NatRevNeurosci yesterday, co-led by myself, @YoungAlexL, & @fishpiechicken at @uclcs and @CmicUcl
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RT @NeilOxtoby: New paper alert! Our review paper on Data-Driven Disease Progression Modelling (D3PM) was published…
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RT @YoungAlexL: Postdoc position available in the @POND_UCL group @CmicUcl developing machine learning tools to identify mixed pathology in…
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@uclcs @CmicUcl @Moorfields @UCLeye And of course the brilliant inspiration and hard work of @Yukunzhou19 @pearsekeane and all the other coauthors and contributors to this work!
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Excited and proud to be part of this. Looking forward to the next steps in the @CmicUcl and @UCLeye collaboration and crossover of @UCLHresearch @MoorfieldsBRC BRCs.
7/ Great to co-lead this with @fishpiechicken @CmicUcl @uclcs Shows the potential when world-leading #NHS data can be combined with UK university #AI expertise! Supported by cross @NIHRresearch Biomedical Research Centre input @MoorfieldsBRC @UCLHresearch @BirminghamBRC
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RT @pearsekeane: 1/ 🚨🚨 New paper alert 🚨🚨 Introducing RETFound, a foundation model for ophthalmology We’re super excited about this and…
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RT @ImagingNeurosci: New paper in Imaging Neuroscience @mitpress by @WijDr Peter Wijeratne, @fishpiechicken Daniel Alexander, et al: The t…
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Go Tiantian!
Look forward to sharing our work in the Neurodegenerative disorders oral session 16:45-18:00 Sunday July 23 in room 513 or in the poster sessions (ID 1466) at #OHBM2023! @anna_schroder @e_thompson93 @NeilOxtoby Ahmed @FBarkhof @fishpiechicken @medimaging_cdt @CmicUcl @UCLMIGPOND
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PhD op 2 @CmicUCL @medicalimaging_cdt: Computational modelling of disease progression and subtype discovery in Alzheimer’s disease using completely new ways to model disease cohorts via unsupervised learning. Join CU-MONDAI project. Deadline 3rd July.
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PhD op 1 @CmicUCL @medicalimaging_cdt: Reinforcement learning for brain connectivity mapping . Revolutionise and optimise tractography for modelling and understanding Alzheimer’s disease. Join CU-MONDAI project. Deadline 3rd July.
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