Patrick Gibbs
PhD Student at Cambridge University. Interested in Quantitative Genetics.
- Reposted by Patrick GibbsExcited to launch our AlphaGenome API goo.gle/3ZPUeFX along with the preprint goo.gle/45AkUyc describing and evaluating our latest DNA sequence model powering the API. Looking forward to seeing how scientists use it! @googledeepmind
- I cannot recommend Davis’s group more highly! In addition to excellent research, he has been a great mentor!
- 📢 PostDoc opportunity in our Bioinformatics & Cellular Genomics lab at SVI! 🧬 You’d join a welcoming, supportive, and brilliant team. Why not spend a few years in Melbourne and be part of something exciting? Apply here: www.seek.com.au/job/84737876 #ScienceCareers #PostDoc #Bioinformatics
- Reposted by Patrick Gibbs📢 PostDoc opportunity in our Bioinformatics & Cellular Genomics lab at SVI! 🧬 You’d join a welcoming, supportive, and brilliant team. Why not spend a few years in Melbourne and be part of something exciting? Apply here: www.seek.com.au/job/84737876 #ScienceCareers #PostDoc #Bioinformatics
- Very happy to share that I will soon start a PhD at Cambridge University funded by the Harding Distinguished Scholar Fellowship, supervised by @mikeinouye.bsky.social and Angela Wood. I’ll work on prediction methodologies for health trajectories, using molecular data, and Electronic Health Records.
- Reposted by Patrick GibbsThe FT reports OpenAI suspects DeepSeek of "a potential breach of intellectual property." As a columnist for NYT, which is suing OpenAI for copyright infringement, and the author of nine books OpenAI apparently used to train its model, I couldn't possibly comment. www.ft.com/content/a0df...
- Very happy to share my first paper! Here we take a look at different models for producing genomic prediction across a wide range of traits. We find that very specific conditions of where ML approaches can out preform linear regression.
- Molecular traits on the other hand are more neutral (because selection acts on the organism), thus are less confounded by population structure, which we believe further enhances ML prediction, because it allows the effect of distinct markers to be independent across populations.
- Earlier this year, I was nominated and funded by unimelb to attend the Heidelberg Laureate forum in Germany. The conference connects 200 developing researchers from maths and compsci to award winning scientists inc. winners of the Fields Medal and Turing award. It was an absolute blast!
- Photos: 1. Media training 2. All of the Australians in attendance (I think we were the most represented nation per-capita) 3: Me and my friend Nikil outside the Heidelberg castle 4: Pat Hanrahan and some more friends
