Denis Engemann
@dngman.bsky.social
Neuroscientist in Pharma R&D. Passionate about brains, machine learning, metabolism, health, nutrition ... cycling. Posts = my personal views & opinions.
Join our team as a 12-month PhD intern @ Roche (Basel)! 🧠 Project: Use causal inference & ML on proteomics to find causal drivers of Alzheimer's. For: 3rd-year PhD candidates #Genomics #MachineLearning #CausalInference #CompBio #Alzheimers See details & apply here ➡️ t.co/zMuVjyMW26
🚨 Preprint Alert 🔔 Does EEG brain-age work as a neurodegeneration biomarker? Brain-age was surprisingly under-predicted in neurological populations. Likely due to diverging age trends in EEG power, breaking model assumptions. Preprint: www.biorxiv.org/content/10.1... #biomarker #EEG #neuroskyence
🩺🧠 ✨Excited about our latest work published in @ebiomedicine.bsky.social! In the BioFIND dataset, we found that brain activity provided unique information about progression to Alzheimer’s Disease (AD). #neuroskyence Paper: www.thelancet.com/journals/ebi...; Thread 🧶 ⤵️
It's Valentine's Day! ❤️ Treat yourself or your lab partner to our latest EEG deepnet - it's the gift that keeps on giving 😁
Denis Engemann@dngman.bsky.social · last yr.📣 ✨Excited about our latest work in Patterns (Cell Press): GREEN a light-weight #NeuralNetwork with Riemannian Geometry + learnable wavelets for #EEG #biomarkers: doi.org/10.1016/j.pa... Joint work with @jpaillard.bsky.social & Jörg Hipp! Thread 🧵👇🏻👇🏾👇
📣 ✨Excited about our latest work in Patterns (Cell Press): GREEN a light-weight #NeuralNetwork with Riemannian Geometry + learnable wavelets for #EEG #biomarkers: doi.org/10.1016/j.pa... Joint work with @jpaillard.bsky.social & Jörg Hipp! Thread 🧵👇🏻👇🏾👇
Next week, we’ll present our spotlight paper at #NeurIPS2024 on domain adaptation for EEG data. Join us in East Exhibit Hall A-C on Friday at 4:30 PM! arxiv.org/abs/2407.03878 Apolline Mellot @sylvchev.bsky.social @agramfort.bsky.social @dngman.bsky.social A thread: 1/7
Geodesic Optimization for Predictive Shift Adaptation on EEG data
Electroencephalography (EEG) data is often collected from diverse contexts involving different populations and EEG devices. This variability can induce distribution shifts in the data $X$ and in the b...
arxiv.org
