Owen Rackham (@owenrackham) 's Twitter Profile
Owen Rackham

@owenrackham

Data-driven biologist working on AI/ML technologies for cell and molecular medicine | Founder @mogrify_uk | PI @dukeNUS @unisouthampton

ID: 36660064

calendar_today30-04-2009 13:22:58

670 Tweet

891 Followers

2,2K Following

Owen Rackham (@owenrackham) 's Twitter Profile Photo

Nice few weeks on planet smORFs - @s_heesch and colleagues call for the community to come together (nature.com/articles/s4158…), our atlas of translation in humans (cell.com/molecular-cell…) and now a beautiful cover image from EleonoraA

Nice few weeks on planet smORFs - @s_heesch and colleagues call for the community to come together (nature.com/articles/s4158…), our atlas of translation in humans (cell.com/molecular-cell…) and now a beautiful cover image from <a href="/Ele_Adami/">EleonoraA</a>
Owen Rackham (@owenrackham) 's Twitter Profile Photo

WANTED: Post-doctoral computational biologist - The role will be developing #AI methods for understanding/controlling cell fate University of Southampton. Our team is small but growing, and we aim to be a supportive and stimulating place to develop :) PM for details jobs.soton.ac.uk/Vacancy.aspx?i…

Owen Rackham (@owenrackham) 's Twitter Profile Photo

Our team is looking for a research fellow to join us on our mission to utilise machine learning and scRNAseq to control cell fate predictably. Interested? Pm me for a chat/discussion/more details? .nature.com/naturecareers/…

Owen Rackham (@owenrackham) 's Twitter Profile Photo

Not long left to apply for this position. If you want to work on problems at the interface of AI and biology, this will interest you.

ryan lister (@ry_lister) 's Twitter Profile Photo

In our new work we chart epigenome reconfiguration in human iPSC reprogramming, informing a new 'Transient Naive Treatment' (TNT) reprogramming strategy that corrects human iPSCs functionally and epigenetically. Read it here nature nature.com/articles/s4158…

Owen Rackham (@owenrackham) 's Twitter Profile Photo

Inspiring work from the labs of Jose Polo and ryan lister labs on understanding and reversing the epigenetic and functional effects of epigenetic memory on iPSCs - a discovery that should make the translation of iPSC-based treatments safer/simpler nature.com/articles/s4158…

Owen Rackham (@owenrackham) 's Twitter Profile Photo

We seek a Research Fellow in Computational Biology to join our team at the University of Southampton . I would be happy to chat with anyone interested in the position about the role, project, or environment we create for you to work in. jobs.soton.ac.uk/2462523BJ

University of Southampton (@unisouthampton) 's Twitter Profile Photo

Dr Owen Rackham will be leading an exciting new project using #AI to generate and validate artificial gene expression profiles. This could expand our understanding of cell types beyond what naturally occurs in our bodies.

Owen Rackham (@owenrackham) 's Twitter Profile Photo

A small team of us has spent nearly a decade working together to get the most out of ribo-seq data for smORF hunting - a journey filled with new ideas, u-turns and a lot of fun! We hope sharing these may help others: tandfonline.com/doi/full/10.10… Sonia Chothani Sebastian Schäfer Lena Ho

Antonis Antoniou (@antonis02) 's Twitter Profile Photo

‼️⌛️ last chance to share your views on the clinical priorities for cancer risk prediction and help shape the Science and Innovation at Cancer Research UK Cancer Data Driven Detection (#CD3) national initiative. Consultation closes 30th January. CRUK Cambridge Centre Cancer Research UK in Scotland CRUK_NorthernIreland Cancer Research UK in Wales 👇

Owen Rackham (@owenrackham) 's Twitter Profile Photo

Exciting launch of the Data Science With Borders (#DSWB) project this week in Addis Ababa. Over the next 3 years, we will work with pathfinders in Cameroon, Senegal and Ethiopia to work toward sustainable and reproducible AI and data science solutions to crucial health challenges

Owen Rackham (@owenrackham) 's Twitter Profile Photo

The second iteration of our multi-omics visualisation tool, ShinyCell2, is now available! Built for simple, scalable and interactive visualisation of single-cell and spatial multi-omics data that can be easily shared. Check out the preprint here: biorxiv.org/content/10.110…