Kim-Anh Lê Cao

@mixomics.org

A team of creative, unconventional and computational statisticians who develop R mixOmics for the biological community. Omics and microbiome unraveller.

🧬 Beyond the omics snapshot 🧬 After a decade of method development, our 6-week advanced course is open! Learn trajectory modelling, batch management and multi-study integration. Requires working R skills/omics knowledge. 🐦 Early-bird ends 31 Jan. 👉 Register: mixomics.pro/academy/ #Rstats

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📊 Ready to master multi-omics? 📊 Our flagship 7-week online course returns Feb 23–April 11! This is our ONLY course for 2026. 🔹 Led by the mixOmics creator 🔹 Self-paced + Live Q&As 🔹 Bring Your Own Data, get guidance ⚠️ Prerequisite: R knowledge Register: mixomics.org/2025/11/mixo...

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Our position close in 7 days! Please share widely through your network, this is a great opportunity to be involved in the development of mixOmics!

Kim-Anh Lê Cao@mixomics.org · last yr.

👩‍💻 We’re hiring! Lê Cao Lab at Uni Melbourne @mig-unimelb.bsky.social needs an R dev to power the next-gen of mixOmics 🚀 Love #RStats, #Bioconductor & multi-omics? Help expand mixOmics, run workshops & publish cutting-edge methods. Apply: unimelb.wd105.myworkdayjobs.com/en-US/UoM_Ex...

🚨 New method from our team: NNet developed by Yidi Deng! 🚨 - Aggregate and cluster networks into meta-networks - Integrate prior knowledge to infer active signalling -Explore dynamic regulation in contexts like haematopoiesis, tumour microenvironments, and transcription factor activity

bioRxivpreprint@biorxivpreprint.bsky.social · last yr.

NeighbourNet: Scalable cell-specific co-expression networks for granular regulatory pattern discovery https://www.biorxiv.org/content/10.1101/2025.03.27.645629v1

We are growing at MIG – a collaborative centre hosted by the Schools of Maths & Stats and Biosciences at the University of Melbourne. Join our collaborative team in a continuing academic role in Machine Learning in Omics. Great opportunity to work at the intersection of data science & biology!

MIG@mig-unimelb.bsky.social · last yr.

🚨 Last week to apply! Apply now! The School of Math & Stats, UniMelb seeks a scientist in Machine Learning in Omics to lead research in statistical methods for omics. 📍 MIG | 📅 By April 1 🔗 jobs.unimelb.edu.au/en/job/91945... #MachineLearning #Omics #DataScience #HigherEd #Mathematics #Statistics

🚀 Ready to dive into omics data integration?
Our mixOmics online course kicks off in ONE month! Perfect for beginners and those looking to deepen their skills. Bring your own data and learn hands-on on your own data! 👉 Register now: mixomics.org/2024/12/onli... 📅 Spots are limited -- don’t miss out!

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