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DTSTAMP:20260616T062654Z
UID:6536d9fa-8e0d-4961-978e-26e9effe4325
DTSTART:20250912T090000Z
DTEND:20250912T150000Z
DESCRIPTION:The F2F AI in Omics Workshop will be held at the University of 
 Bradford. Organised by members affiliated with the UKRI Digital Skills Cat
 alyst: Pasky Miranda (University of York) and Khaled Jum'ah (University of
  Bradford).\n\n**Programme Agenda** \n\n| Time | Topic| Speacker|\n| -----
 -------- |:-------------:| -----:|\n| 10:00 | Introduction to Machine Lear
 ning Concepts Used in -Omics | Eva Caamano |\n| 11:00 |  Coffee + Chat Bre
 ak  |    |\n| 11:30 | Practical Demo: Pitfalls in ML and Good Practice Usi
 ng Tidymodels | Jamie Soul  |\n|13:00 | Lunch  | |\n| 14:00 | Hackathon/Co
 de Retreat | |\n|16:00| End + networking afterwards | |\n\n**Event Details
 **\nThis one-day event (organised by UKRI Digital Skills Catalyst) will su
 pport AI readiness for bioscientists. \n\nThe morning includes two talks: 
 \n\n**Lecture: Introduction to Machine Learning Concepts Used in -Omics**\
 nDescription:\nThis session will introduce participants to the core princi
 ples of supervised machine learning (ML) as applied to omics data analysis
 . The lecture will cover the unique challenges posed by high-dimensional a
 nd complex omics datasets\, including issues of reproducibility\, overfitt
 ing\, and the pitfalls of poor feature selection. Participants will learn 
 about best practices for robust and interpretable ML workflows and will be
  introduced to reporting standards such as DOME and FAIR. The session will
  include a practical critical appraisal of published examples\, to help at
 tendees identify good and bad practice in real-world contexts.\n\n**Practi
 cal Demo: Pitfalls in ML and Good Practice Using Tidymodels**\nDescription
 :\nBuilding on the introduction\, this live session demonstrates common pi
 tfalls in ML workflows for omics and shows how the Tidymodels framework in
  R promotes best practice. Through a guided tutorial\, participants will l
 earn how to build a robust ML pipeline: from preprocessing and avoiding da
 ta leakage\, to model fitting and proper evaluation. Participants will fol
 low along with a Quarto notebook\, applying what they learn to a classific
 ation and regression problems relevant to omics.\nThe afternoon will consi
 st of a bring your own data Code Retreat where our team of experts will be
  on hand to help you with your personal projects\, and a Hackathon challen
 ge activity for those without their own data who want to try out their new
  skills. \n\nNetworking tea/coffee and lunch will be included.
LOCATION:Richmond Building (RICH/WB19)\, University of Bradford\,  Richmond
  Road
SUMMARY:AI Readiness in Omics: Workshop & Hackathon
URL;VALUE=URI:https://docs.google.com/forms/d/e/1FAIpQLSdskUUaFnEDevlbCnzWH
 Mfa_xkEf3DCmsOwIchEHfAMV3Pi-A/viewform
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