
(a)bram
@abramschonfeldt
PhD student exploring machine learning in population health @OxWearables
ID: 346127144
31-07-2011 19:32:01
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NEWS: One-minute bursts of high-intensity activity could help to prolong your life Read more 👉 bit.ly/3HmmHuM Aiden Doherty Nature Medicine UK Biobank Big Data Institute


Our lab OxWearables is offering an exciting fully funded UNIQ+ summer internship for students in the UK to work on machine learning heterogeneity in population health in collaboration with Thomas Nichols @nichols.bsky.social and Yifan Yu. Apply before Feb 17 and select project population health 1.

Pleased to share our preprint on an open-source method that offers the most robust way to measure steps from wrist-worn accelerometers in large-scale studies such as the UK Biobank. medrxiv.org/content/10.110… 🧵



Job alert - researcher position for those interested in -omics discovery with respect to device-measured activity, sleep, and circadian rhythms OxWearables Big Data Institute Oxford Population Health (OxPop) University of Oxford tinyurl.com/wearOmics Please feel to email me to find out more.







Motion blur typically breaks SLAM/SfM algorithms - but what if blur was actually the key to super-robust motion estimation? In our new work, Image as an IMU, Ronnie Clark and I demonstrate exactly how a single motion-blurred image can be used to our advantage. 🧵1/9

Introducing the X account for the Perceptual Intelligence and Extended Reality Lab (PIXL) at Oxford Comp Sci! We’ll share discussions, interesting talks and research projects from our group. Check our work at: pixl.cs.ox.ac.uk 📸From our spring outing Hawk Conservancy Trust
