Kristina Ulicna
@kristinaulicna.bsky.social
1.5K followers 780 following 29 posts
AIxBio Research Scientist 👩‍🔬 | PhD Computational Biology 👩‍💻 | BSc Biomedicine 🧫 | "Singlecellologist" 🦠 into biologically meaningful representation learning 🧬 | Decoding life in London 🇬🇧
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Reposted by Kristina Ulicna
kristinaulicna.bsky.social
We certainly are 💪, and with this stellar panelist line-up 🌟, there's so much to look forward to at #LMRL2025 at @iclr-conf.bsky.social conference! Retweet & share with your colleagues & let’s discuss in Singapore! 🇸🇬📷 #LMRL #ICLR2025
kristinaulicna.bsky.social
🚀 Ready for discussion of “Balancing Rigor, Interpretability & Innovation: Desiderata for Biological Representation Learning" with:
🔹 Jean-Philippe Vert #drugdiscovery
🔹 Catherine Tong #proteinstructure
🔹 Daniel Burkhardt #multiscalebiology
🔹 Tim Stuart #singlecells
🔹 Mor Nitzan #cellmodelling
kristinaulicna.bsky.social
Excited to see this lineup? Retweet & share with your colleagues & let’s discuss in Singapore! 🇸🇬 🔥 #LMRL #ICLR2025
kristinaulicna.bsky.social
👀 AI-powered optical tools are unlocking new frontiers in biomedicine!

Join Kevin Tsia (The University of Hong Kong) at #LMRL #ICLR2025 as he explores high-speed optical methods for cancer screening, neural imaging & more—where biophotonics meets AI! 🚀🔬 #ML #Healthcare #Biophotonics
kristinaulicna.bsky.social
🔬 ML-powered biomedical imaging is pushing the boundaries of discovery!

We’re excited to host Juan Caicedo (The University of Wisconsin-Madison) at #LMRL #ICLR2025, where he’ll showcase how AI can capture phenotypic variation & reveal new insights in disease & treatment. 🏥📸 #ML #AI #BioImaging
kristinaulicna.bsky.social
🔥 How can large language models revolutionize protein design?

At #LMRL #ICLR2025, we’ll host Alex Rives (split between MIT, BroadInstitute & EvolutionaryScale), who led Meta AI’s protein folding team. He’ll share insights on AI-driven evolutionary-scale protein modeling! 🧬✨ #AI #Biotech
kristinaulicna.bsky.social
🤖 What does it mean for an AI representation to be causally meaningful?

At #LMRL #ICLR2025, Yixin Wang (University of Michigan) will dive into causal & probabilistic models for biological data, redefining how we extract knowledge from complex systems. 📊🔍 #CausalAI #Statistics #ML
kristinaulicna.bsky.social
🧪 Multimodal AI is transforming cancer diagnostics!

We’re honored to have Faisal Mahmood (Harvard University) from Harvard Med) at #LMRL2025 #ICLR2025, sharing how AI-driven imaging & generative models are uncovering biomarkers & enhancing precision medicine. 🎯💊 #AI #GenAI #CancerResearch
kristinaulicna.bsky.social
🚀 Exciting speaker lineup for #LMRL2025 @ICLR_Conf! Welcoming 5 incredible researchers shaping the future of meaningful AIxBio representations 🦠:
🔹Faisal Mahmood #pathology
🔹Yixin Wang #causality
🔹Alex Rives #proteins
🔹Juan Caicedo #imaging
🔹Kevin Tsia #biomedicine
🧵
kristinaulicna.bsky.social
We have a date! 📅 #LMRL2025 is coming to 🇸🇬 on 28th April 2025 @iclr-conf.bsky.social to bring life into AI 🌱😜
Biological of biomedical, any bio domain helping to bring *meaningfulness* into the world should be represented at this workshop 🌏
It's not late until 12th Feb AoE to submit! 📝
kristinaulicna.bsky.social
Checked our website at lmrl.org? 🔗 You can now take a deep(er) breath 😮‍💨 after the @icmlconf.bsky.social deadline sprints 🏃 & continue polishing your manuscripts 💅 until *12th February* - our extended submission deadline for both paper tracks for #LMRL2025 at @iclr-conf.bsky.social! 💻
Reposted by Kristina Ulicna
gatsbyucl.bsky.social
📢 Apply now for the 7-week #Mathematics #SummerSchool in London!

You will develop mathematics skills and intuition necessary to enter the #TheoreticalNeuroscience or #MachineLearning field.

ℹ️ www.ucl.ac.uk/gatsby/study-and-work/gatsby-bridging-programme

Please help spread the word!
Gatsby Bridging Programme flyer
kristinaulicna.bsky.social
📢 Calling all researchers! The #LMRL workshop is now accepting paper submissions! 🧬✨

🎯 Showcase complete works / early-stage ideas 💡 via your chance to inspire & connect with a non-traditional AIxBio #ICLR2025 audience 🌍

👉 Help us spread the word of lmrl.org 🙌
kristinaulicna.bsky.social
🎉 Huge thanks to Berton Earnshaw (@bearnshaw.bsky.social at @recursionpharma.bsky.social), Thouis Ray Jones (at @broadinstitute.org), and Elizabeth Wood (@lizbwood.bsky.social at Jura Bio) for their invaluable feedback in shaping this #LMRL revival! 🙌
Stay tuned for new updates at www.lmrl.org ! 🚀
LMRL - Learning Meaningful Representations of Life
www.lmrl.org
kristinaulicna.bsky.social
👨‍💻 Meet Fabian_Theis (@fabiantheis.bsky.social at HelmholtzMunich), a global leader in #AI driven systems biology. From ICLR MLGenX to Computational Single-Cell workshops, Fabian brings unparalleled expertise to #LMRL at #ICLR2025. 🌟 #ML #Genomics
kristinaulicna.bsky.social
🚀 Welcome Charlotte Bunne (@bunnech.bsky.social), an AIMM group lead at EPFL advancing medicine with #AI. From Genentech and Stanford to organizing workshops & tutorials at various #ML conferences, Charlotte’s vision shapes #LMRL at #ICLR2025. 🌟 Don’t miss it! #Molecular #Medicine
kristinaulicna.bsky.social
📢 Aleks Goeva (@VectorInst & @UofT), an Assistant Professor blending #ML & intercellular biology for health! From @broadinstitute.org to NeurIPS #LMRL 2022 co-organizer, Aleks drives innovation for #ICLR2025. See you there! 🌟 #HealthTech
kristinaulicna.bsky.social
🧬 Meet Oren Kraus (@recursionpharma.bsky.social), an Associate Director of #ML developing foundation models for imaging & genomics. A founder of Phenomic AI & organizer of CytoData conference 2018, Oren’s vision makes #LMRL at #ICLR2025 unmissable! 🌟 #AI #DrugDiscovery
kristinaulicna.bsky.social
💪 Jason Hartford (@jhartford.bsky.social at @valenceai.bsky.social & Manchester Uni) represents us in causal #ML for biological data. From PhD at UBC to postdoc at MILA, Jason brings years of expertise in causal inference & community building to #LMRL at #ICLR2025. Let’s learn! 🌟 #AI #Causality
kristinaulicna.bsky.social
💡 Giovanni Palla (@cziscience.bsky.social), an #ML Scientist exploring spatial biology at Chan Zuckerberg Initiative joins us fresh after his PhD at Helmholtz Munich. From co-founding `scverse`, Giovanni brings rich expertise in multimodal modelling to #LMRL at #ICLR2025. 🌟 See you in Singapore!
kristinaulicna.bsky.social
💻 Meet Till Richter (@richtertill.bsky.social at Helmholtz Munich), a final-year PhD candidate blending #ML & genomics at TUM. From robotics to large-scale models, Till co-organized ECCB_2024’s Explainable AI workshop & is a core force behind #LMRL. Join us together at #ICLR2025! 🌟 #Genomics
kristinaulicna.bsky.social
📢 Introducing Eeshaan Jain (@eeshaanjain.bsky.social), a PhD student at EPFL, researching multi-scale #ML for biomedical datasets. With degrees from IIT Bombay & experience at Google Research, Eeshaan brings innovation & vision to #LMRL at #ICLR2025. 🌟 #Biomedicine
kristinaulicna.bsky.social
👋 Say hi to Rebecca Boiarsky (@mitofficial.bsky.social & @broadinstitute.org), a PhD candidate merging #ML & single-cell RNA-seq for cancer research. With experience at Regeneron & co-organizing NeurIPS #LMRL 2022, Rebecca is set to make the workshop at #ICLR2025 a huge success! 🌟 #LifeSciences
kristinaulicna.bsky.social
🚀 Meet Kristina Ulicna (@kristinaulicna.bsky.social at @valenceai.bsky.social), a Research Scientist in #AI driven single-cell representations. From @uclofficial.bsky.social to Turing Inst to #WiML volunteer, Kristina brings expertise in imaging & interpretable AI to #LMRL. Ready for #ICLR2025! 🌟