Accelerate Programme for Scientific Discovery’s Post

Feeling extremely lucky and grateful for this funding from the Accelerate Programme for Scientific Discovery of the Cambridge Centre for Data-Driven Discovery. With this support, we aim to turn our multi-agent system prototype "cmbagent" into a robust software package that can (hopefully!) help cosmology research. With Kristen Surrao, Andrew Laverick, Íñigo Zubeldia, Miles Cranmer, Antony Lewis, Blake Sherwin and Julien Lesgourgues, we are working hard towards this goal. This project owes much to the fantastic work of Qingyun Wu, Chi Wang, and their collaborators. They created autogen/AG2, the multi-agent framework that underlies cmbagent. 📜 Check-out our arXiv post: https://lnkd.in/e_CH9Mhv ⭐ Star cmbagent: https://lnkd.in/eDB-yYcn ⭐ Star AG2: https://lnkd.in/gwPRRgTk

Excited to get our project funded by the Accelerate Programme for Scientific Discovery. We'll be developing new methods combining AI and metagenomics to improve pathogen tracking. Look forward to getting started on this next year!

On Monday, November 4, please join us for two key events featuring Mona Singh, Professor of Computer Science, Lewis-Sigler Institute for Integrative Genomics at Princeton University, and Princeton postdocs and Eric and Wendy Schmidt Center postdoctoral fellows. Panel Discussion: Princeton postdocs and Schmidt Center postdoctoral fellows on “Foundation Models in Genomics” (2:45-3:30 pm) Key topics include: - Defining foundation models and their impact on genomics. - Benchmarking insights and challenges from recent studies. - Architectural innovations tailored for biological applications. Colloquium Talk: Mona Singh on "Protein Language Models: Their Power, Limitations, and Future Directions." (4:00-5:00 pm, refreshments at 3:30 pm) Find the abstract and register on our website: https://lnkd.in/eW8wnhbX The event will be held at the Broad Institute of MIT and Harvard in Yellowstone as well as virtually via YouTube Livestream: broad.io/ewsc. If you do not have a Broad badge, please show up at the 415 Main Street entrance 10 minutes early with an ID to sign in with security and to be escorted to the talk. This colloquium is part of an ongoing series jointly hosted by the Eric and Wendy Schmidt Center and MIT EECS. It features speakers sharing how their work is driving novel insights into the most pressing biomedical questions of our time and how biomedical questions are spurring foundational advances in machine learning. #SchmidtCenter #BroadInstitute #MonaSingh #Princeton #Genomics #PBI #ComputationalMolecularBiology #FoundationModels #Genomics #ProteinLanguageModels #MachineLearning #ML #Algorithms #MLinBiology #MIT #EECS #ScienceNews #ScientificResearch

The European Research Council (ERC) has announced the winners of its 2024 Consolidator Grant, with six researchers from Tel Aviv University among the recipients. This grant supports advanced-career researchers in driving groundbreaking research across various scientific fields. Winners include: - Prof. Ben Maoz who is developing "organs-on-chips" like Immune-Me-on-a-Chip to simulate the human immune system, aiding the study of human responses to biological threats. - Prof. Michal Feldman's work explores the intersection of economics, game theory, and computer science. Prof. Feldman's latest ERC-funded research explores the theoretical foundations of Algorithmic Contract Theory. - Dr. @Ilya Kaminker's work on advanced spectroscopic methods in paramagnetic resonance aims to revolutionize our understanding of quantum phenomena. - Dr. Tsachi Hagai's research examines viral mimicry in protein structures and host-virus interactions. - Prof. Gal Oestreicher-Singer's ERC project investigates the impact of large language models (LLMs) on engagement within online collaborative communities. - Prof. Dor Salomon's research includes studying bacterial toxin secretion systems for novel antibiotic treatments. Prof. Dan Peer, TAU's Vice President for Research and Development, remarked: "Tel Aviv University is immensely proud of its researchers, who stand at the forefront of global science and contribute to the advancement of research and technology across diverse fields. This recognition highlights their excellence and profound impact on the scientific community and society." Huge congratulations to these exceptional researchers! Sagol School of Neuroscience, Tel Aviv University Tel Aviv University - Coller School of Management Blavatnik School of Computer Science, Tel Aviv University

The SIC celebrates another prestigious European Research Council (ERC) Synergy Grant 🏆, awarded to Universität des Saarlandes’s Prof. Joel Ouaknine, Scientific Director at the Max Planck Institute for Software Systems (MPI-SWS); Prof. Florian Luca (MPI-SWS, Stellenbosch University); and Prof. @Valérie Berthé (IRIF, CNRS). The €7.5 million ERC Synergy Grant 💶 supports their ambitious project, 'Dynamical and Arithmetical Model Checking (DynAMiCs)', which explores important approaches to understanding discrete dynamical systems and tackles longstanding mathematical challenges like the #Skolem Problem. This interdisciplinary team is set to redefine how we predict and verify complex system behaviors across fields—from #AI 🤖 to theoretical #biology 🧬.   ERC #Synergy Grants are among the most prestigious awards worldwide—only 57 out of 548 proposals were funded in this round, highlighting the project’s global significance 🌍. This is the second ERC Synergy Grant awarded at SIC, bringing the total number of ERC awards at the campus to 42. Read more: https://sic.link/q

👩🎓 🎉 Congratulations Lisa Schmors for successfully defending your doctoral thesis recently. Many congratulations on this huge milestone! "During my PhD at IMPRS-IS, I used machine learning tools to investigate neural mechanisms in the brain. Through diverse statistical methods, I explored how single neurons and neural populations process sensory information depending on cell type and brain state. Looking ahead, I’m more excited than ever to work on scientific questions related to the brain. In my next project, I will continue collaborating with my PhD supervisor, Philipp Berens, as well as Katrin Franke and Andreas Tolias at Stanford University." Lisa joined the Data Science group at the University of Tuebingen in 2019, and is now also part of the newly established Hertie Institute for AI in Brain Health. Her academic journey began with a bachelor’s degree at the Free University of Berlin, including a thesis project in biotechnology at the University of Birmingham, followed by a master’s in neuroscience from the University of Oldenburg, where she focused on computational modeling. During her PhD, Lisa also had the unique opportunity to teach a master’s course in statistics at the medical research center in Gabon, Africa. She thinks that the synergies between statistics and neuroscience are broad and can not only enhance our understanding of the brain but also inspire machine learning models and artificial system that are more interpretable and robust. #MPIIS #IMPRSIS #unituebingen #machinelearning #AI #Tübingen #IntelligentSystems #Phdstudent #Phdthesis #ThesisDefense

The 2024 Nobel Prize for AlphaFold highlights the contributions of AI, but Helen Berman's work in co-founding the Protein Data Bank was crucial. Those of us who are privileged to know and work with Helen know that this recognition is long overdue! https://lnkd.in/gRnqM3NK "...The 2024 Nobel Prize in Chemistry, awarded to Demis Hassabis and John Jumper of Google DeepMind for AlphaFold, is a moment in the fusion of artificial intelligence and biology. AlphaFold’s ability to predict protein structures with unprecedented accuracy is a triumph of computational power applied to one of biology’s most intricate challenges. Yet, as we reflect on this monumental achievement, it is vital to acknowledge the layers of scientific infrastructure and historical contributions that underpinned AlphaFold’s success. Among these contributions, the legacy of Helen Berman, co-founder of the Protein Data Bank (PDB), emerges as crucial yet largely uncelebrated in the public discourse..." I have the great fortune to have been working with Helen for the past 4 years as co-PI on the research project _Inner Space_. This art\science collaboration between the Bridge Institute and the World Building Media Lab at USC is building a new visual language for molecular biology. #NobelPrize #AlphaFold #ArtificialIntelligence #MolecularBiology #sca #dornsife #innerspace #worldbuildingmedialab #proteindatabank #pdb

🎉 Exciting News! 🎉 I am thrilled to share that I have successfully passed my Thesis Proposal meeting for my PhD in Applied Mathematics & Computational Science at the University of Pennsylvania! This milestone marks a significant step forward in my academic journey and career as a PhD candidate. My thesis, titled "Innovations in Deep Learning for Surrogate Modeling and Uncertainty Quantification in Science & Engineering" will focus on leveraging deep learning techniques to develop efficient surrogate models for complex physical processes. This research aims to enhance the accuracy, reliability, and computational efficiency of scientific simulations, with potential applications spanning areas from climate modeling to precision medicine and mechanical engineering. I am incredibly grateful to my advisor, Paris Perdikaris, and my committee members, Nat Trask and Jacob Gardner, for their insightful feedback throughout this process. I am excited to continue this journey and contribute to the field of AI4Science. Here’s to the next chapter of my PhD! #PhD #ThesisProposal #AI4Science #DeepLearning #ComputationalScience #SciML PS: if you'd like to see what I've been up to, please check out my Google Scholar! https://lnkd.in/dSTTVH4S

Dear Colleagues, Applied sciences encompass a wide array of fields, including engineering, business, medicine, neuroscience, Earth science, quantum computing, and epidemiology. Unlike basic science, which aims to develop theories and laws to explain and predict natural phenomena, applied sciences use mathematical approaches to solve practical problems. Topics include but are not limited to: - mathematical methods analysis - applied mathematics biomathematics modeling - applied sciences - real systems - applied mechanics quantitative models simulation methodology inverse problems - numerical methods machine learning - deep learning reinforcement learning We invite you to contribute to the 2nd Edition of the special issue on "Mathematical Methods in the Applied Sciences." We welcome both theoretical and application-focused submissions, including review papers. Accepted manuscripts will be published in Axioms, which has an impact factor of 1.9. The deadline for manuscript submissions is January 20, 2025. Manuscripts will be reviewed immediately upon submission. For more information, visit: [MDPI Axioms Special Issue](https://lnkd.in/e_VvCQgt).

🎉 Congratulations to Dr. Mohammad Ashiqur Rahman and Dr. Vladimir A Pozdin on winning the Artificial Intelligence-Driven Resilient Health and Biological Systems Award! A new NSF REU award, "REU Site: Artificial Intelligence-Driven Resilient Health and Biological Systems". This $372,000 award is expected to provide ten-week research experiences to eight students per year for the next three years. Those experiences will focus "on integrating core artificial intelligence (AI) technologies into the research on sensing systems for resilient health and biological systems and providing students with unique and interdisciplinary research experiences. This REU summer program will help build the workforce needed for the urgent adoption of innovative biomonitoring systems built on recent technological advancements, including smart and miniaturized sensors, communication technologies, and AI."   The award's full abstract can be found at https://lnkd.in/g8KjQkQx   Dr. Ashiqur is the PI and Dr. Pozdin is the Co-PI of this project. This project has Drs. Nezih Pala, Raj Pulugurtha (BME/ECE), Wei-Chiang Lin (BME), and Clinton Jenkins (EVR) as Senior Personnel. #nsf #grant #award #research #health #artificial #biological