Arvind Ramanathan (he/him)
@arvindr_
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Pasta and Protein. Music and Mysteries. Life and Lessons. Computational biologist- sometimes at work :)
United States
Joined May 2009
RT @BiologyAIDaily: MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. •….
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We show that it is possible to minimize hallucinations with such models by integrating experimental or simulation observables allowing the model to sample not only novel sequence space, but cover reliable ground in terms of protein fitness landscapes.
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A collaboration with @AnimaAnandkumar @ChaoweiX Shengchao Liu, @NVIDIA, @intel and many others at @argonne and @argonne_lcf ! Also grateful for the @Supercomputing 's IEEE/ACM Gordon Bell Finalist nomination!.
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What's more fun when you can break the Exascale barrier for #protein design workflows with #artificalintelligence, that can be prompted with natural language. Read more here:
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We also have hands on tutorial sections, interactive sessions and lab tours to show how scientific discoveries are being transformed with generative AI.
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We have a line up excellent speakers and an international audience connecting thoughts about how AI, robotics and scientific discovery in various fields are being impacted.
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Check out some recent work integrating MD simulations with rare event sampling and DeepDriveMD with the wonderful @ltchong and our group. Really enjoyed the research, discussions, and the directions this work is taking!.
Unsupervised learning of progress coordinates during weighted ensemble simulations: Application to millisecond protein folding.- Improve rare events in protein folding (e.g., state transitions) through weighted ensemble simulation and an unsupervised deep learning model. - Use a
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RT @Azizzadenesheli: Please join @icmlconf for "Equivariant Graph Neural Operator for Modeling 3D Dynamics" .by @MinkaiX, @jiaqihan99, @aa….
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RT @MinkaiX: Amazing collaboration with w/ @jiaqihan99 (co-first) @aaron_lou @JeanKossaifi @arvindr_ @Azizzadenesheli @jure @StefanoErmon @….
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LLMs with biophysical scoring methods - thanks to Gautham @saforem2 @AnimaAnandkumar and the @argonne_lcf for this!.
📢 another one, hot off the press 🔥 🚨. Protein Generation via Genome-scale Language Models with Bio-physical Scoring. . ( with @arvindr_ , @argonne_lcf ).
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RT @LabsGlobus: The slides for Ian Foster's talk at eScience "Embodied Agents as Scientific Assistants" are now available here: https://t.c….
anl.app.box.com
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The position is unique in the sense that it involves access to @argonne_lcf computing resources and our autonomous laboratory infrastructure to validate findings from the simulations.
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Again, you cannot find a better mentor and an exciting group. Learn how we can use AI/ML in driving massive bacterial membrane systems and do it in the beautiful city of Oxford! @ProfSyK and @argonne . .
Come work in my lab in Oxford Biochemistry- Postdoc funded via @hecbiosim in collab with @arvindr_ at Argonne National Lab. We will do massive bacterial membrane simulations augmented with ML. We are friendly, supportive lab in a beautiful city.
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Honored to be part of this! This is a truly once in a lifetime opportunity for motivated researchers- and you know how much fun it is to be part of @ProfSyK group and Oxford. There are plans to integrate with new AI techniques integrating with @argonne automated labs!.
Postdoc position available in my lab in Oxford. Running massive bacterial simulations on HPC resources & augmenting the sims with AI methods for greater efficiency. Funded via @hecbiosim & in collaboration with @arvindr_ at Argonne National Lab. pls RT.
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Also we will be starting a new training program to use these robotics driven labs to drive experiments across HBCUs, HSIs, MSIs, - look for more news as part of this awesome initiative!.
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