Fergus Imrie
@fergus_imrie
Florence Nightingale Bicentenary Fellow @OxfordStats | Former Postdoc @UCLA DPhil (PhD) @UniofOxford @OPIGlets
Love getting to collaborate and do innovative research like this! @UCLAAnes Congrats @DrPasLaf @fergus_imrie ! Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach: Anesthesia & Analgesia journals.lww.com/anesthesia-ana…
MolSnapper: Conditioning Diffusion for Structure-Based Drug Design #DrugDesign pubs.acs.org/doi/10.1021/ac… @YaeliZiv @fergus_imrie @bmarsden19 @OPIGlets #JCIM Vol65 Issue9 #MachineLearning #DeepLearning
This work is such 🔥 @NicholasRuncie is now banned from Chat GPT Check out this thread and our preprint! arxiv.org/abs/2505.07735
🚀 LLMs can now do chemistry! Our new preprint shows that state-of-the-art reasoning models can now perform advanced chemical reasoning tasks, without any assistance from external tools. Here’s what o3-mini can already do👇 (1/🧵)
MolSnapper has now been published in @JCIM_JCTC! MolSnapper integrates expert knowledge into diffusion models for structure-based drug design using a conditioning approach. Congratulations @YaeliZiv, @fergus_imrie, Brian Marsden, and Charlotte Deane. pubs.acs.org/doi/10.1021/ac…
We're recruiting a 3-year postdoc for the Novo Nordisk - Oxford Fellowship programme! Develop machine learning approaches for fragment library design and experimental optimisation in cardiometabolic drug discovery Job advert: shorturl.at/3l47e
Looking forward to speaking at the University of Cambridge CCAIM Summer School for AI in Medicine this September!
Let the best teachers guide your next steps on your AI Journey! Our #SummerSchool for AI in Medicine brings you top experts to share insights on AI-driven medicine, LLMs, decision support, & real-world impact! 📅 12-14 Sept 2025 Secure your spot today: vanderschaar-lab.com/cambridge-ai-i…
This International Women's Day, we proudly recognise the amazing women in OPIG and all their exceptional work and achievements
Amazing program. I'm very excited to be a co-supervisor for a UNIQ+ project on Nanobody Language Modelling based in @OxfordStats
Applications are now open for UNIQ+ @UniofOxford - deadline Wed 19 Feb 2025 We're delighted to be offering a project on Nanobody Language Modelling. Learn about deep learning and language modelling and apply these methods to nanobody sequences ox.ac.uk/admissions/gra…
🔥 Molecule networks 🔥 New cheminformatics data visualisation: 📊 Rapid interpretation of SAR 🔊 Find molecules in the noise ❌ No more lists of molecules My new favourite visualisation method! 🚀 Read how I visualise Free Wilson analysis here blopig.com/blog/2025/01/m…
🚨 PhD openings Fantastic opportunity to join @UniofOxford for a PhD as part of the new ILESLA programme Research is possible across 5 broad themes including machine learning and drug discovery Deadline: January 31st, 12pm (midday) UK time
Two weeks to go until the application deadline for ILESLA. If you or anyone you know would benefit from full funding to carry out a PhD in Life and/or Environmental Science please visit/refer to their website iles.web.ox.ac.uk/how-apply where you can see open day videos and guidance
We have just advertised a new permanent Research Software Engineer role within the group (Grade 8 salary band £47-55K pa). Application deadline: 1st November. Details in the image below, and more info available at the link. Please share widely! my.corehr.com/pls/uoxrecruit…
OPIGlets are out in force at #AIChem24, organised by our very own @gmm DPhil students @LucyVost, @arun_raja007 and @isakvals are presenting posters, and Yael is giving a talk about her recent work MolSnapper on Wednesday! Please come and chat to them!
I’m delighted to announce that I’ve joined @OxfordStats @UniofOxford as a Florence Nightingale Bicentenary Fellow. I’ll be continuing my research in machine learning for medicine and drug discovery. If you’d like to collaborate, please reach out!
Label quality is crucial for pseudo-labeling! Check out our latest work demonstrating the impact of label noise on pseudo-labeling and proposing a general strategy for such scenarios Fantastic work @NabeelSeedat01 and Nicolas!
🤔 How is Pseudo-labeling affected by dirty Ground Truth labels? Turns out, they can't handle the (dirty) truth 😉 as we show in our DMLR paper “You can’t handle the (dirty) truth: Data-centric insights improve pseudo-labeling”. 🧵[1/N]
How do we stress-test ML models for settings for which we have no or little real data? #SyntheticData generated by #GenerativeModels may be the answer. Join us at #NeurIPS2023, 5pm (#907) to hear more. w/ @NabeelSeedat01*,@fergus_imrie,@MihaelaVDS Link: neurips.cc/virtual/2023/p…
I had an amazing time working with @dennisfrauen on sensitivity analysis while he was visiting Cambridge this summer! Preprint here: arxiv.org/abs/2311.16026
🚨New preprint: A Neural Framework for Generalized Causal Sensitivity Analysis 👉 We propose NeuralCSA: a #neural framework for generalized #causal #sensitivity #analysis /🧵
🚨New preprint: A Neural Framework for Generalized Causal Sensitivity Analysis 👉 We propose NeuralCSA: a #neural framework for generalized #causal #sensitivity #analysis /🧵