Johnny Israeli @johnny_israeli
Building @nvidia's Drug Discovery tech teams. Prev founded Genomics @nvidia, PhD @stanford. linkedin.com/in/jisraeli/ Stanford, CA Joined May 2016-
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In 2023, one of my goals was to provide a new utility for calling diploid variations (SNP + SVs) from diploid genome assemblies more efficiently. I am happy that I have finished the code before the end of 2023. It is a nice closure for something I liked to finish for a while.
We are hiring at all levels in @nvidia's #BioNeMo team. Search "drug discovery" on our jobs site to see the latest openings: nvidia.wd5.myworkdayjobs.com/NVIDIAExternal…
We are hiring at all levels in @nvidia's #BioNeMo team. Search "drug discovery" on our jobs site to see the latest openings: nvidia.wd5.myworkdayjobs.com/NVIDIAExternal…
Learn how we place big bets in protein folding and AI-powered drug discovery in this article from @Analyticsindiam: #BioNeMo nvda.ws/489V9DJ
New openings @nvidia for Genomic LLM R&D at sr levels. You will build genomic foundation models into our products and see your work used by the most iconic techbios. Learn more about BioNemo: m.youtube.com/watch?v=GNL1z7… Apply here: nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…
We are #hiring Sr. Deep Learning Engineers: nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx… You will work with incredible scientists and engineers building @nvidia's BioNeMo technologies: youtube.com/watch?v=GNL1z7…
Hopper DPX is the realization of a multi-year vision and engineering execution across many teams @nvidia to enable in hardware and our genomics software. Excited to see how developers will adopt across applications!
Hopper DPX is the realization of a multi-year vision and engineering execution across many teams @nvidia to enable in hardware and our genomics software. Excited to see how developers will adopt across applications!
Accelerating single-cell genomic analysis with GPUs biorxiv.org/content/10.110…
Anshul Kundaje (anshu.. @anshulkundaje
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Accelerated computing is the future of genomics. That's why we at @DeepOriginBio teamed up with @nvidia to bring Parabricks to nf-core modules. deeporigin.com/blog/deep-orig… We're running a free Parabricks webinar at the end of the month - signup link in the post!
Personal news - Joined NVIDIA in 2016, and Tesla in 2019. Like family, I never thought I'd leave. My intuition pulls me to my next venture, that has the ingredients to change the world - again. I'm joining Google DeepMind this Monday. Excited to be a kid among legends!
Seems like a consensus is forming amongst many smart people! This is Jensen Huang, CEO of $NVDA Basically WATCH OUT for the impending biotech BOOM 💥
Navigating "corporate speak" isn't easy. Here's a helpful guide I put together: "Let me check with my team" = No "Possibly" = No "On my roadmap" = Not happening "This will be done in Q4" = This will be done in Q2 next year "Disagree and commit" = I hate you "Per my last…
For our 3rd competition for #NeurIPS2023, we’re asking: can you predict a new algorithm for how cells respond to a drug treatment? Learning how #singlecells respond to perturbations will help support more efficient drug design. See more on Kaggle: kaggle.com/competitions/o…
🎉Exciting Update of scGPT 🎉: After receiving significant attention from the community since our April release, we're thrilled to announce the first major update for scGPT - a foundation model for single-cell multi-omic data. This update integrates community feedback and…
🧬🔮 Single cell foundation models have been a recent hot topic in bio-ML! A few of the recent methods and some thoughts 🧬🔮 1) Geneformer 2) scGPT 3) scFoundation 4) Exceiver
Come check out live MinION Read Until using our GPU-accelerated DTWax. youtube.com/watch?v=E5XDGL… doi.org/10.1101/2023.0… @nanopore @UMich @UMichCSE @johnny_israeli
Very cool to see that @nvidia's CEO has just announced their new BioNeMo cloud service in his keynote and highlighted DiffDock as the molecular docking algorithm they have chosen to integrate! Great to see the power of open-source science! youtube.com/watch?v=DiGB5u…
I'm thrilled to announce I have joined @DeepMind to help their extraordinary team continue to lead in their quest to build AGI. More to come. I'm also so happy to reconnect with so many friends I worked with a decade ago. Let the adventure begin!
In this next phase of our partnership with @OpenAI, we will deliver the best AI infrastructure, models, and toolchain for customers to safely and responsibly build and run their applications on Azure. blogs.microsoft.com/blog/2023/01/2…
Evozyne uses NVIDIA #BioNeMo for #LLMs that generate high-quality proteins that can speed drug design. Learn More: nvda.ws/3WeEUyc
Discover how @evozyne is accelerating their drug development by using #BioNeMo for #LLMs that generate high-quality proteins. Learn More: nvda.ws/3WeEUyc bit.ly/3CI1mZv
GPT3 is powerful but blind. The future of Foundation Models will be embodied agents that proactively take actions, endlessly explore the world, and continuously self-improve. What does it take? In our NeurIPS Outstanding Paper “MineDojo”, we provide a blueprint for this future:🧵
22 ideas from 2022. The top 1% of ideas I encountered:
How is software engineering going to change with LLMs? What if we could "implement" class interfaces automagically using LLMs? Presenting `llm-strategy`: a PoC package based on @LangChainAI and @OpenAI's GPT that adds an llm_strategy decorator to Python: github.com/blackhc/llm-st…
This may be helpful to you as we come to the end of another year.
You can also download an entire 10-step process to do a comprehensive 2022 review (and make 2023 your best year yet): Check it out here: Theyearlyreview.com
We ran +35,000 zero-shot experiments for our work on k-bit Inference Scaling Laws📈. A 30B 8-bit and 60B 4-bit LLM have the same model bits/inference latency, but different zero-shot accuracy. What is the best trade-off? The answer is clear: 4-bit is best arxiv.org/abs/2212.09720