A blue and white poster reads "MRD Centre of Research Excellence in Exposome Immunology, External Seminar: Integrating cohorts and multi-omics to capture the earliest determinants of disease and aging". The speaker is Professor Philip Awadalla from the University of Oxford. 9 February 2026. Kennedy lecture theatre. 12:30-13:30. Open to all members of the University of Oxford. Hosted by Yang Luo.
On Monday 9 February, Professor Philip Awadalla will join us to present 'Integrating Cohorts and Multi-Omics to Capture the Earliest Determinants of Disease and Aging'. Our External Seminars are open to any member of the University of Oxford. Don't miss it! talks.ox.ac.uk/talks/id/19a...
04.02.2026 10:48 โ ๐ 2 ๐ 2 ๐ฌ 0 ๐ 0
A photo of me that is about 10 years old, and details on the webinar: "Inside the world's largest metabolomics study: Insights from UK Biobank, 21st January 2026, 3pm (GMP), Register now".
We have a webinar next week with @ukbiobank.bsky.social on the Nightingale metabolomics data. We did a table read today, and it is shaping up really nicely. Please do come! 300 people have registered already and there are only np.inf spaces left!
www.ukbiobank.ac.uk/use-our-data...
14.01.2026 11:32 โ ๐ 6 ๐ 2 ๐ฌ 0 ๐ 0
annual Xmas dinner - blessed with a wonderful team๐ฅฐ
03.12.2025 11:06 โ ๐ 3 ๐ 1 ๐ฌ 0 ๐ 0
Improving population-scale disease prediction through multi-omics integration https://www.medrxiv.org/content/10.1101/2025.11.24.25340920v1
27.11.2025 20:40 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
If youโre interested in:
๐งฌ multi-omics
๐ dimensionality reduction
๐ฉบ disease risk prediction
๐ฅ large cohort analysis
โฆweโd love for you to check it out, and pin me if you have any comments or feedback โ would love to hear your thoughts!
28.11.2025 10:02 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
This is a great collaborative effort among many amazing colleagues, particularly supports from
@lukejostins.bsky.social, @jeffbarrett.eu
and Prof. John Todd
28.11.2025 10:01 โ ๐ 4 ๐ 0 ๐ฌ 1 ๐ 0
๐ For certain diseases, such as diabetes and anaemia, these factors improve disease prediction, reveal cross-disease biology, and move us closer to population-scale precision medicine.
28.11.2025 10:00 โ ๐ 1 ๐ 1 ๐ฌ 1 ๐ 0
These latent factors:
โ summarise thousands of molecular features
โ reflect core biological processes
โ generalise across diverse diseases
๐
28.11.2025 10:00 โ ๐ 0 ๐ 1 ๐ฌ 1 ๐ 0
๐งฌ Common diseases share biology, but we often predict them using single biomarkers.
We asked: Can multi-omics do better?
Using multi-omic data from @ukbiobank.bsky.social, we identify latent omic factors that capture shared pathways influencing many diseases simultaneously.
28.11.2025 09:58 โ ๐ 3 ๐ 1 ๐ฌ 1 ๐ 0
๐จ New preprint from the lab!
Weโre excited to share โImproving population-scale disease prediction through multi-omics integrationโ by Ng et al. www.medrxiv.org/content/10.1...
28.11.2025 09:56 โ ๐ 15 ๐ 7 ๐ฌ 2 ๐ 0
๐งทPin me if you have any comments or feedback. We'd love to hear your thoughts!
28.11.2025 09:48 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
This is a great collaborative effort among many amazing colleagues, particularly supports from @lukejostins.bsky.social , @jeffbarrett.eu and Prof. John Todd
28.11.2025 09:48 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
๐ For a number of diseases, such as diabetes and anaemia, these factors improve disease prediction, reveal cross-disease biology, and move us closer to population-scale precision medicine.
28.11.2025 09:48 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
โจ Using genomics, proteomics & metabolomics, we identified latent omic factors that capture shared molecular signatures across many diseases.
28.11.2025 09:48 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
๐งฌ Common diseases share biology, but we often predict them using single biomarkers.
We asked: Can multi-omics do better?
28.11.2025 09:48 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
Amazing work! Congrats @linoafferreira.bsky.social !
25.11.2025 02:17 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Some talks are good, some are exciting, and some are truly inspirational. This is one of them โ โSmarter trials for better healthโ by Sir Martin Landray. @martinlandray.bsky.social
12.11.2025 12:06 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
โจ It was a real pleasure to host @mikeinouye.bsky.social today! A fantastic seminar connecting polygenic scores with multi-omic profiles โ showing how integration can power next-generation disease prediction. #systemgenomics
03.11.2025 13:43 โ ๐ 5 ๐ 1 ๐ฌ 1 ๐ 1
One more week to go! Come and join us for this exciting Exposome journey.
31.10.2025 16:05 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Excited to be working with this amazing group!
21.10.2025 13:31 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Weโre delighted to hear that our favourite cell type (Regulatory T cells!) have been recognised in the Nobel Prize this year! Huge congratulations to Mary, Fred, and Shimon for their pivotal work in the field & hereโs to many exciting Treg advances to come!๐ฅณ๐๐
07.10.2025 10:37 โ ๐ 34 ๐ 5 ๐ฌ 3 ๐ 0
๐ Postdoc Opportunity โ MRC CoRE in Exposome Immunology ๐
Join us to explore how the exposome shapes complex disease risk using multi-omics & global biobank data. @kiroxford.bsky.social , @exposomeimmunology.bsky.social
โ
Apply: lnkd.in/gJHJDvKn
๐๏ธ Deadline: 12pm, 30 Oct 2025
02.10.2025 14:45 โ ๐ 3 ๐ 4 ๐ฌ 0 ๐ 0
@soumya-boston.bsky.social when are you coming ? ;-)
26.09.2025 16:48 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Scientist studying microbiome-host interactions in primary sclerosing cholangitis at the University of Oxford.
#microbiome #scRNAseq #bioinformatics #metagenomics #metabolomics #transcriptomics
I also like drawing: https://www.instagram.com/ilottnick21
Immunologist at the University of Manchester | UKRI Future Leaders Fellow | Studying B cells in airway inflammation and autoimmunity | She/her
Infectious disease immunologist
American scientist living and working in UK. Immunology, virology, nature, dogs, birds, arts and literature, some politics and humor.
There is a crack in everything, thatโs how the light gets in.
Scientist, Computational biologist. Asst. Prof. Icahn School of Medicine at Mount Sinai ๐งฌ. Alum. Harvard Medical School ๐บ๐ธ, EPFL๐จ๐ญ, University of Tehran ๐ฎ๐ท
Principal Investigator, Assistant Professor | #CUAnschutz Medical Campus
#ComputationalBiology #SingleCell #ML #AI #Autoimmune
Zhang Lab: fanzhanglab.org
Github: github.com/fanzhanglab
Linkedin: https://www.linkedin.com/in/fan-zhang-phd-2149306b/
https://www.manchester.ac.uk/exposome
Professor, Dep. Genome Informatics, University of Tokyo
Professor, Dep. Statistical Genetics, Osaka University
Team Director, Lab. Systems Genetics, RIKEN IMS
Rheumatologist and computer scientist. Fellow at Brigham and Womens Hospital, researcher at @broadinstitute, alum of Harvard MD/PhD program.
Assistant Professor @ Genome Sciences at University of Washington | Previously Instructor @ Harvard Medical School | Incoming Seeking how much of our destiny can be explained by data and science.
https://saorisakaue.github.io/
An inflammatory sciences centre @ox.ac.uk @ndorms.bsky.social. Bridging discovery and clinical research, focused on the biology of tissue health and chronic disease.
Human geneticist ๐งฌ, bioinformagician ๐ง๐ปโโ๏ธ, choral musician ๐ผ, and unrepentant city slicker ๐๏ธ. Amplifying interesting signals (like #ScienceWin)! [he/him]
https://orcid.org/0000-0003-3466-1846
Interested in how cells use genes to create shape, form and function in #embryos as well as in Societal Wellbeing
#NotInTheGenes #InNumbersWeTrust #gastruloids #gastrulation
Postdoc in Samocha Lab at MGH and Broad Institute. Oxford PhD in Genomic Medicine and Statistics. Passionate about using data science to improve global public health.
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social