Patrick Lucey
@patricklucey
Chief Scientist at Stats Perform: I do machine learning on lots of sports data
ID:157849997
http://www.patricklucey.com 21-06-2010 02:25:45
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Recently, #STEM students at select #HBCUs had the chance to take an โAI in Basketballโ course. Presented by Stats Perform, Student Freedom Initiative & Morehouse College, the class offered #education on the field of AI integration in sports. Thanks to all who were part of this innovative program.
ICYMI - proposals for next yearโs #OptaForum are now being accepted.
Full details โฌ๏ธ, including a practitioner-led category featuring a research question from Mathieu Lacome
This fall, Student Freedom Initiative partnered with Stats Perform to launch an #AI in Basketball course for Morehouse College, Clark Atlanta Univ. & Spelman College students. This course is exposing #HBCU students to artificial intelligence, preparing them to lead in the growing field. bit.ly/3FxYsYr
Iโm excited to be speaking at the MIT SSAC this year - both giving a talk as well as being on a panel. Looking forward to seeing everyone there! Stats Perform Sloan Sports Conf. #SSAC23
Looking for data scientists to join our team and work on exciting sports stuff at Stats Perform.
Two roles - FTE requiring 3+ years of prof exp, and 6 month long internships. Typical DS skills needed esp. strong Python skills. Remote in India / BLR.
DM me, if interested!
A very simple chase for Cricket Australia against Sri Lanka Cricket ๐ฑ๐ฐ.
When SL were 100-1 off 11.4 overs, we predicted their final total at 182 with a win prob ~62%. They only managed 128.
The 13th over alone dropped SL's win prob from ~50% to ~32% (Hazlewood's 3 wickets).
#SLvAus
Fascinating talk about data in sport (with lots of football) by Patrick Lucey. Masterful. ๐
a few slides from our talk at Training Ground Guru's Big Data event, showing off some of Stats Perform's latest tools for player recruitment - some in prod, some still in dev
Research Papers Semi-Finals #SSAC21 #ShowMeTheData
Incredible work from this team using Stats Perform AutoStats computer vision technology to access player data, then building interpretable models to predict how well a player will perform in the NBA! bit.ly/39XZL3o
Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data moving onto day 2 of Sloan Research Papers Finals ๐ช๐ช Andrew Patton Matt Scott Alex Ottenwess Aditya Cherukumudi Nathan Walker Patrick Lucey Paul Power
Sloan Paper released! 'Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data'. global-uploads.webflow.com/5f1af76ed86d67โฆ Authors: me, Nathan Walker Patrick Lucey Alex Ottenwess Matt Scott Paul Power Aditya Cherukumudi