John Warmenhoven
@johnwarmenhoven
@UTS_Health lecturer in sports data | data-scientist | biomechanist who got lost playing with graphs | DMs are open | Views my own
ID: 37398712
https://www.researchgate.net/profile/John_Warmenhoven 03-05-2009 10:42:11
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Jukka-Pekka Onnela Juan Harvard T.H. Chan School of Public Health USC 🚀 Is the kNN algorithm poised to transform data handling and insights discovery in large-scale medical cohort studies?"? Read more here: arxiv.org/abs/2402.01635 #DataScience #kNN
And Ben Goldacre of Bennett Institute for Applied Data Science gave a great overview of OpenSAFELY - and some straightforward explanations, including this one of synthetic (or dummy) data
I'll present some of our previous work and our work in progress on using hierarchical models in FL settings to better capture data variation across different clients. Joint work with Kerrie Mengersen Rob Salomone Antonietta Mira Joshua Bon QUT Centre for Data Science
#statstab #45 Visualizing Hierarchical Models by Mike Freeman Thoughts: One of the coolest visualisation websites for mixed effects models I had saved. #stats #mixedeffects #hierarchicalmodels #rstats #MLM mfviz.com/hierarchical-m…
Lovely to see this excellent new book on '#FunctionalDataAnalysis with #RStats' by Ciprian M. Crainiceanu, Jeff Goldsmith, Andrew Leroux, and Erjia Cui now published by CRC Press Data Science, Stats, and Math Books. A thread of some highlights from the endorsements. routledge.com/Functional-Dat…
We are seeking a research assistant to support the Australian Institute of Sport-UTS RTS project (Return-to-sport Using Decision Determinants to Evaluate Risk of Re-injury in Sport). Closing Date: 10 April 2024. Must have rights to work in 🇦🇺; 0.7 FTE; 2-years. See: seek.com.au/job/74754418
Read the new article in Sports Medicine from Franco Impellizzeri, with colleagues Ian Shrier & Steven Stovitz, in which they lay out the issue of competing interests in publishing, along with opportunities to mitigate these issues to promote better science. rdcu.be/dHhPd
Synthetic data for sharing and exploration in high performance sport doi.org/10.51224/SRXIV… From John Warmenhoven Franco Impellizzeri et al.
Interested in PhD at the interface of computational stats/ML and motorsports? Join us at UNSW Data Science Hub (uDASH) and work with industry partners Biomedical Performance Technologies analysing athlete, car and track streaming data to enhance athlete performance Deadline: 6th Sept UNSW AI Institute