Inevitable
@kristinaulicna
AIxBio Research Scientist ๐ฉโ๐ฌ | PhD Computational Biology ๐ฉโ๐ป | BSc Biomedicine ๐งซ | "Singlecellologist" ๐ฆ into biologically meaningful representation learning ๐งฌ | Decoding life in London ๐ฌ๐ง
Inevitable
We certainly are ๐ช, and with this stellar panelist line-up ๐, there's so much to look forward to at #LMRL2025 at @iclr-conf.bsky.social conference! Retweet & share with your colleagues & letโs discuss in Singapore! ๐ธ๐ฌ๐ท #LMRL #ICLR2025
๐ Ready for discussion of โBalancing Rigor, Interpretability & Innovation: Desiderata for Biological Representation Learning" with:
๐น Jean-Philippe Vert #drugdiscovery
๐น Catherine Tong #proteinstructure
๐น Daniel Burkhardt #multiscalebiology
๐น Tim Stuart #singlecells
๐น Mor Nitzan #cellmodelling
โ
Excited to see this lineup? Retweet & share with your colleagues & letโs discuss in Singapore! ๐ธ๐ฌ ๐ฅ #LMRL #ICLR2025
๐ 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 & moreโwhere biophotonics meets AI! ๐๐ฌ #ML #Healthcare #Biophotonics
๐ฌ ML-powered biomedical imaging is pushing the boundaries of discovery!
Weโre excited to host Juan Caicedo (The University of Wisconsin-Madison) at #LMRL #ICLR2025, where heโll showcase how AI can capture phenotypic variation & reveal new insights in disease & treatment. ๐ฅ๐ธ #ML #AI #BioImaging
๐ฅ How can large language models revolutionize protein design?
At #LMRL #ICLR2025, weโll host Alex Rives (split between MIT, BroadInstitute & EvolutionaryScale), who led Meta AIโs protein folding team. Heโll share insights on AI-driven evolutionary-scale protein modeling! ๐งฌโจ #AI #Biotech
๐ค 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. ๐๐ #CausalAI #Statistics #ML
๐งช Multimodal AI is transforming cancer diagnostics!
Weโre 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. ๐ฏ๐ #AI #GenAI #CancerResearch
๐ Exciting speaker lineup for #LMRL2025 @ICLR_Conf! Welcoming 5 incredible researchers shaping the future of meaningful AIxBio representations ๐ฆ :
๐นFaisal Mahmood #pathology
๐นYixin Wang #causality
๐นAlex Rives #proteins
๐นJuan Caicedo #imaging
๐นKevin Tsia #biomedicine
๐งต
We have a date! ๐
#LMRL2025 is coming to ๐ธ๐ฌ on 28th April 2025 @iclr-conf.bsky.social to bring life into AI ๐ฑ๐
Biological of biomedical, any bio domain helping to bring *meaningfulness* into the world should be represented at this workshop ๐
It's not late until 12th Feb AoE to submit! ๐
Checked our website at lmrl.org? ๐ You can now take a deep(er) breath ๐ฎโ๐จ after the @icmlconf.bsky.social deadline sprints ๐ & continue polishing your manuscripts ๐ until *12th February* - our extended submission deadline for both paper tracks for #LMRL2025 at @iclr-conf.bsky.social! ๐ป
Gatsby Bridging Programme flyer
๐ข 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.
โน๏ธ www.ucl.ac.uk/gatsby/study-and-work/gatsby-bridging-programme
Please help spread the word!
๐ข Calling all researchers! The #LMRL workshop is now accepting paper submissions! ๐งฌโจ
๐ฏ Showcase complete works / early-stage ideas ๐ก via your chance to inspire & connect with a non-traditional AIxBio #ICLR2025 audience ๐
๐ Help us spread the word of lmrl.org ๐
๐ 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! ๐
Stay tuned for new updates at www.lmrl.org ! ๐
๐จโ๐ป 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. ๐ #ML #Genomics
๐ 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, Charlotteโs vision shapes #LMRL at #ICLR2025. ๐ Donโt miss it! #Molecular #Medicine
๐ข 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! ๐ #HealthTech
๐งฌ 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, Orenโs vision makes #LMRL at #ICLR2025 unmissable! ๐ #AI #DrugDiscovery
๐ช 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. Letโs learn! ๐ #AI #Causality
๐ก 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. ๐ See you in Singapore!
๐ป 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_2024โs Explainable AI workshop & is a core force behind #LMRL. Join us together at #ICLR2025! ๐ #Genomics
๐ข 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. ๐ #Biomedicine
๐ 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! ๐ #LifeSciences
๐ 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! ๐
Pleasure to lead this iteration of the #LMRL proposal with such a stellar organizing committee! ๐คฉ Let me introduce you to its diversity spanning several world-renowned institutions ๐ซ, geographies ๐บ๏ธ, affiliations ๐งณ, career stages ๐งโ๐ซ, backgrounds ๐ and interests ๐ญ:
Exciting news! ๐ The Learning Meaningful Representations of Life ( #LMRL ๐) workshop is returning at #ICLR2025! ๐
On 27th / 28th April 2025 in Singapore ๐ธ๐ฌ, this popular event returns with a fresh organizing team ๐ & bold new ideas ๐ง to explore bridging AI & life sciences ๐งฌ
Using mechanistic #interpretability ๐ป to advance scientific #discovery ๐งช & capture striking biology? ๐งฌ
Come see @jhartford.bsky.social's oral presentation ๐จโ๐ซ @ #NeurIPS2024 Interpretable AI workshop ๐ฆพ to learn more about extracting features from large ๐ฌ MAEs! Paper ๐ โก๏ธ: openreview.net/forum?id=jYl...
Find us at the #NeurIPS2024 Interpretable AI workshop in East Ballroom A, B as the 'last-but-not-least' talk in the 2nd 'Contributed talks' session at 3:30 - 4:00pm Vancouver time! ๐ interpretable-ai-workshop.github.io
Using mechanistic #interpretability ๐ป to advance scientific #discovery ๐งช & capture striking biology? ๐งฌ
Come see @jhartford.bsky.social's oral presentation ๐จโ๐ซ @ #NeurIPS2024 Interpretable AI workshop ๐ฆพ to learn more about extracting features from large ๐ฌ MAEs! Paper ๐ โก๏ธ: openreview.net/forum?id=jYl...