Christian Dallago
@machine.learning.bio
🏳️🌈 NVIDIA & Duke. Was Allianz, VantAI, TUM. BioCS+ML dude.
Lab page: https://machine.learning.bio
GScholar: https://scholar.google.com/citations?user=4q0fNGAAAAAJ
Lab page: https://machine.learning.bio
GScholar: https://scholar.google.com/citations?user=4q0fNGAAAAAJ
Another exciting opportunity, this time as a colleague at Duke! Join as tenure track assistant prof. in Cell Bio & let’s work on closing the gap between in-silico and in-vivo: www.nature.com/naturecareer...
Important: application closes Nov 1st!!!
Important: application closes Nov 1st!!!
Tenure-Track Assistant Professor Position –AI/ML for Cell Biology - Durham, North Carolina (US) job with Duke University School of Medicine | 12844591
Tenure-Track Assistant Professor Position –AI/ML for Cell Biology
www.nature.com
October 27, 2025 at 6:12 PM
Another exciting opportunity, this time as a colleague at Duke! Join as tenure track assistant prof. in Cell Bio & let’s work on closing the gap between in-silico and in-vivo: www.nature.com/naturecareer...
Important: application closes Nov 1st!!!
Important: application closes Nov 1st!!!
Another opening: Senior Multiscale Biology Applied Research Scientist!
nvidia.eightfold.ai/careers/job/...
Are fascinated by fundamental data modalities across biology like RNA-seq, mass spec & want to build computational tools that harnessing data to build intelligence?
Come: join the team!
nvidia.eightfold.ai/careers/job/...
Are fascinated by fundamental data modalities across biology like RNA-seq, mass spec & want to build computational tools that harnessing data to build intelligence?
Come: join the team!
Senior Applied Research Scientist, Multiscale Biology | NVIDIA Corporation
Apply your expertise in engineering biology through algorithms and tools for genes, tissues, organisms, and populations. Conduct collaborative applied research in multiscale biology using deep learnin...
nvidia.eightfold.ai
October 17, 2025 at 11:28 AM
Another opening: Senior Multiscale Biology Applied Research Scientist!
nvidia.eightfold.ai/careers/job/...
Are fascinated by fundamental data modalities across biology like RNA-seq, mass spec & want to build computational tools that harnessing data to build intelligence?
Come: join the team!
nvidia.eightfold.ai/careers/job/...
Are fascinated by fundamental data modalities across biology like RNA-seq, mass spec & want to build computational tools that harnessing data to build intelligence?
Come: join the team!
Are you passionate about leading collaborative, fast moving, applied bioinformatics research projects that help the entire community move forward?
Apply to work in my team at NVIDIA: nvidia.eightfold.ai/careers/job/...
Apply to work in my team at NVIDIA: nvidia.eightfold.ai/careers/job/...
Senior Applied Research Scientist, Bioinformatics | NVIDIA Corporation
Lead applied and collaborative research programs using bioinformatics, high performance computing, and deep learning for biological advancements. Develop and accelerate bioinformatics software and alg...
nvidia.eightfold.ai
October 15, 2025 at 7:46 PM
Are you passionate about leading collaborative, fast moving, applied bioinformatics research projects that help the entire community move forward?
Apply to work in my team at NVIDIA: nvidia.eightfold.ai/careers/job/...
Apply to work in my team at NVIDIA: nvidia.eightfold.ai/careers/job/...
Reposted by Christian Dallago
Great talk by @machine.learning.bio at the 5th Virtual @chembiotalks.bsky.social. He talked about the use of #MachineLearning and #BigData to address biological questions. Cool insights into both predicting functions and designing proteins
ieeexplore.ieee.org/document/947...
arxiv.org/abs/2503.00710
ieeexplore.ieee.org/document/947...
arxiv.org/abs/2503.00710
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning
Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models (LMs) taken from Natural Language Processing (NLP). These LMs reach for new pred...
ieeexplore.ieee.org
September 30, 2025 at 12:09 PM
Great talk by @machine.learning.bio at the 5th Virtual @chembiotalks.bsky.social. He talked about the use of #MachineLearning and #BigData to address biological questions. Cool insights into both predicting functions and designing proteins
ieeexplore.ieee.org/document/947...
arxiv.org/abs/2503.00710
ieeexplore.ieee.org/document/947...
arxiv.org/abs/2503.00710
Reposted by Christian Dallago
GPU-accelerated MMseqs2 offers tremendous speedup for homology retrieval, protein structure prediction with ColabFold, and protein structure search with Foldseek. @martinsteinegger.bsky.social @milot.bsky.social @machine.learning.bio
www.nature.com/articles/s41...
www.nature.com/articles/s41...
GPU-accelerated homology search with MMseqs2 - Nature Methods
Graphics processing unit-accelerated MMseqs2 offers tremendous speedups for homology retrieval from metagenomic databases, query-centered multiple sequence alignment generation for structure predictio...
www.nature.com
September 18, 2025 at 8:09 PM
GPU-accelerated MMseqs2 offers tremendous speedup for homology retrieval, protein structure prediction with ColabFold, and protein structure search with Foldseek. @martinsteinegger.bsky.social @milot.bsky.social @machine.learning.bio
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Christian Dallago
Reposted by Christian Dallago
Looking forward to hearing about the potential of machine learning for #Biology and #DrugDiscovery from an industry perspective. Register for the Virtual @chembiotalks.bsky.social to hear the perspective of Chris Dallago (@machine.learning.bio) from Nvidia.
#ChemBio #Chemsky #ML #MachineLearning
#ChemBio #Chemsky #ML #MachineLearning
The third talk of the 5th Virtual ChemBioTalks will be given by Chris Dallago (@machine.learning.bio). He will talk about the research at NVIDIA into “Industrial BioML: the coming of age of machine learning for biology”.
Make sure to register for free: https://cvent.me/G1geWW
Make sure to register for free: https://cvent.me/G1geWW
July 16, 2025 at 7:53 AM
Looking forward to hearing about the potential of machine learning for #Biology and #DrugDiscovery from an industry perspective. Register for the Virtual @chembiotalks.bsky.social to hear the perspective of Chris Dallago (@machine.learning.bio) from Nvidia.
#ChemBio #Chemsky #ML #MachineLearning
#ChemBio #Chemsky #ML #MachineLearning
Reposted by Christian Dallago
(1/5) Venoms are a vast, largely untapped library of bioactive molecules—and our new paper in @natcomms.nature.com @natprot.nature.com reveals just how powerful they can be. 🐍⚡️
Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence - Nature Communications
Researchers used artificial intelligence to mine global venom proteomes and discovered novel peptides with antimicrobial activity. Several candidates showed efficacy against drug-resistant bacteria in...
www.nature.com
July 14, 2025 at 2:35 PM
(1/5) Venoms are a vast, largely untapped library of bioactive molecules—and our new paper in @natcomms.nature.com @natprot.nature.com reveals just how powerful they can be. 🐍⚡️
Reposted by Christian Dallago
Excited to have participated in the 2025 Symposium on Generative AI in Molecule Discovery in beautiful Munich, along with amazing scientists and colleagues @machine.learning.bio, Francesca Grisoni, @ewaszczurek.bsky.social, @fabiantheis.bsky.social and more... 🔬🤖 events.hifis.net/event/2015/
July 11, 2025 at 7:52 AM
Excited to have participated in the 2025 Symposium on Generative AI in Molecule Discovery in beautiful Munich, along with amazing scientists and colleagues @machine.learning.bio, Francesca Grisoni, @ewaszczurek.bsky.social, @fabiantheis.bsky.social and more... 🔬🤖 events.hifis.net/event/2015/
Reposted by Christian Dallago
Folddisco finds similar (dis)continuous 3D motifs in large protein structure databases. Its efficient index enables fast uncharacterized active site annotation, protein conformational state analysis and PPI interface comparison. 1/9🧶🧬
📄 www.biorxiv.org/content/10.1...
🌐 search.foldseek.com/folddisco
📄 www.biorxiv.org/content/10.1...
🌐 search.foldseek.com/folddisco
July 7, 2025 at 8:21 AM
Folddisco finds similar (dis)continuous 3D motifs in large protein structure databases. Its efficient index enables fast uncharacterized active site annotation, protein conformational state analysis and PPI interface comparison. 1/9🧶🧬
📄 www.biorxiv.org/content/10.1...
🌐 search.foldseek.com/folddisco
📄 www.biorxiv.org/content/10.1...
🌐 search.foldseek.com/folddisco
With contributions from fantastic colleagues @martinsteinegger.bsky.social , @mikeinouye.bsky.social, @jlistgarten.bsky.social , @ideasbyjin.bsky.social, @michael-heinzinger.bsky.social, and many more, the first CSHL volume on ML for Protein Science and Engineering is out: lnkd.in/dQdgGPpp
June 15, 2025 at 11:30 AM
With contributions from fantastic colleagues @martinsteinegger.bsky.social , @mikeinouye.bsky.social, @jlistgarten.bsky.social , @ideasbyjin.bsky.social, @michael-heinzinger.bsky.social, and many more, the first CSHL volume on ML for Protein Science and Engineering is out: lnkd.in/dQdgGPpp
Reposted by Christian Dallago
The final program is now online for the 5th Virtual @chembiotalks.bsky.social: web.cvent.com/event/60e9f3...
Looking forward to talks by Sarah O'Connor, Chengqi Yi, @machine.learning.bio, @cathleenzeymer.bsky.social, @kellychibale.bsky.social, Jennifer Prescher and @craigmcrews.bsky.social.
Looking forward to talks by Sarah O'Connor, Chengqi Yi, @machine.learning.bio, @cathleenzeymer.bsky.social, @kellychibale.bsky.social, Jennifer Prescher and @craigmcrews.bsky.social.
The registration link and program for the 5th Virtual ChemBioTalks are finally available! If you are interested in the field of Chemical Biology, make sure to register for this free, virtual event on September 30th, 2025!
cvent.me/G1geWW (1/4)
#Chemsky #ChemBio
cvent.me/G1geWW (1/4)
#Chemsky #ChemBio
June 10, 2025 at 9:38 AM
The final program is now online for the 5th Virtual @chembiotalks.bsky.social: web.cvent.com/event/60e9f3...
Looking forward to talks by Sarah O'Connor, Chengqi Yi, @machine.learning.bio, @cathleenzeymer.bsky.social, @kellychibale.bsky.social, Jennifer Prescher and @craigmcrews.bsky.social.
Looking forward to talks by Sarah O'Connor, Chengqi Yi, @machine.learning.bio, @cathleenzeymer.bsky.social, @kellychibale.bsky.social, Jennifer Prescher and @craigmcrews.bsky.social.
@michael-heinzinger.bsky.social and I are seeking talented postdocs to support for the Marie Skłodowska-Curie Fellowship! Join our international AI+biology team, collaborate on protein design, and access top labs in the US & EU. Interested? Apply by July 15! Details: machine.learning.bio/news/msca
Marie Skłodowska-Curie Fellowship
PostDoc Opportunity in AI for Protein Science
Marie Skłodowska-Curie Fellowship
machine.learning.bio
June 3, 2025 at 4:05 PM
@michael-heinzinger.bsky.social and I are seeking talented postdocs to support for the Marie Skłodowska-Curie Fellowship! Join our international AI+biology team, collaborate on protein design, and access top labs in the US & EU. Interested? Apply by July 15! Details: machine.learning.bio/news/msca
Reposted by Christian Dallago
Save the date for the Helmholtz Munich AI for Health Symposium 2025, devoted to the topic of Generative AI in Molecule Discovery!
July 4, 2025
Helmholtz Munich Campus in Neuherberg, Germany
What now?
Register and submit abstracts (deadline May 2, 2025!)
events.hifis.net/event/2015/r...
July 4, 2025
Helmholtz Munich Campus in Neuherberg, Germany
What now?
Register and submit abstracts (deadline May 2, 2025!)
events.hifis.net/event/2015/r...
April 7, 2025 at 10:24 AM
Save the date for the Helmholtz Munich AI for Health Symposium 2025, devoted to the topic of Generative AI in Molecule Discovery!
July 4, 2025
Helmholtz Munich Campus in Neuherberg, Germany
What now?
Register and submit abstracts (deadline May 2, 2025!)
events.hifis.net/event/2015/r...
July 4, 2025
Helmholtz Munich Campus in Neuherberg, Germany
What now?
Register and submit abstracts (deadline May 2, 2025!)
events.hifis.net/event/2015/r...
Reposted by Christian Dallago
📢📢 "Proteina: Scaling Flow-based Protein Structure Generative Models"
#ICLR2025 (Oral Presentation)
🔥 Project page: research.nvidia.com/labs/genair/...
📜 Paper: arxiv.org/abs/2503.00710
🛠️ Code and weights: github.com/NVIDIA-Digit...
🧵Details in thread...
(1/n)
#ICLR2025 (Oral Presentation)
🔥 Project page: research.nvidia.com/labs/genair/...
📜 Paper: arxiv.org/abs/2503.00710
🛠️ Code and weights: github.com/NVIDIA-Digit...
🧵Details in thread...
(1/n)
March 4, 2025 at 5:09 PM
📢📢 "Proteina: Scaling Flow-based Protein Structure Generative Models"
#ICLR2025 (Oral Presentation)
🔥 Project page: research.nvidia.com/labs/genair/...
📜 Paper: arxiv.org/abs/2503.00710
🛠️ Code and weights: github.com/NVIDIA-Digit...
🧵Details in thread...
(1/n)
#ICLR2025 (Oral Presentation)
🔥 Project page: research.nvidia.com/labs/genair/...
📜 Paper: arxiv.org/abs/2503.00710
🛠️ Code and weights: github.com/NVIDIA-Digit...
🧵Details in thread...
(1/n)
Reposted by Christian Dallago
🔸Proteina is a fantastic collaboration with wonderful colleagues at NVIDIA:
🔥 Tomas Geffner*, @kdidi.bsky.social*, Zuobai Zhang*, Danny Reidenbach, Zhonglin Cao, @jyim.bsky.social , Mario Geiger, @machine.learning.bio, Emine Kucukbenli, @arashv.bsky.social, @karstenkreis.bsky.social* 🔥
(10/n)
🔥 Tomas Geffner*, @kdidi.bsky.social*, Zuobai Zhang*, Danny Reidenbach, Zhonglin Cao, @jyim.bsky.social , Mario Geiger, @machine.learning.bio, Emine Kucukbenli, @arashv.bsky.social, @karstenkreis.bsky.social* 🔥
(10/n)
March 4, 2025 at 5:17 PM
🔸Proteina is a fantastic collaboration with wonderful colleagues at NVIDIA:
🔥 Tomas Geffner*, @kdidi.bsky.social*, Zuobai Zhang*, Danny Reidenbach, Zhonglin Cao, @jyim.bsky.social , Mario Geiger, @machine.learning.bio, Emine Kucukbenli, @arashv.bsky.social, @karstenkreis.bsky.social* 🔥
(10/n)
🔥 Tomas Geffner*, @kdidi.bsky.social*, Zuobai Zhang*, Danny Reidenbach, Zhonglin Cao, @jyim.bsky.social , Mario Geiger, @machine.learning.bio, Emine Kucukbenli, @arashv.bsky.social, @karstenkreis.bsky.social* 🔥
(10/n)
Big time
Favourite paper of 2019
"Learning Protein Structure with a Differentiable Simulator" by Ingraham et al. (1/4)
openreview.net/forum?id=Byg...
"Learning Protein Structure with a Differentiable Simulator" by Ingraham et al. (1/4)
openreview.net/forum?id=Byg...
January 12, 2025 at 10:50 AM
Big time
Two major life updates:
- I'm moving to Senior Applied Research Scientist in Digital Biology at NVIDIA (Jan '25)
- I'm starting a new lab at Duke as Visiting Assistant Prof (early '25)
Both roles focus on tackling hard problems in biological machine learning through collaborative research.
Long 🧵
- I'm moving to Senior Applied Research Scientist in Digital Biology at NVIDIA (Jan '25)
- I'm starting a new lab at Duke as Visiting Assistant Prof (early '25)
Both roles focus on tackling hard problems in biological machine learning through collaborative research.
Long 🧵
December 23, 2024 at 6:55 PM
Two major life updates:
- I'm moving to Senior Applied Research Scientist in Digital Biology at NVIDIA (Jan '25)
- I'm starting a new lab at Duke as Visiting Assistant Prof (early '25)
Both roles focus on tackling hard problems in biological machine learning through collaborative research.
Long 🧵
- I'm moving to Senior Applied Research Scientist in Digital Biology at NVIDIA (Jan '25)
- I'm starting a new lab at Duke as Visiting Assistant Prof (early '25)
Both roles focus on tackling hard problems in biological machine learning through collaborative research.
Long 🧵
Reposted by Christian Dallago
After a busy CASP/CAPRI year we resume our rolling CAPRI rounds, announcing the 1st target of 2025.
It consists of an antibody-glycan complex. The glycan is heptyl α-D-mannopyranoside.
Registration for this target is now open.
pdbe.org/capri
It consists of an antibody-glycan complex. The glycan is heptyl α-D-mannopyranoside.
Registration for this target is now open.
pdbe.org/capri
The European Bioinformatics Institute < EMBL-EBI
EMBL-EBI
pdbe.org
December 19, 2024 at 1:15 PM
After a busy CASP/CAPRI year we resume our rolling CAPRI rounds, announcing the 1st target of 2025.
It consists of an antibody-glycan complex. The glycan is heptyl α-D-mannopyranoside.
Registration for this target is now open.
pdbe.org/capri
It consists of an antibody-glycan complex. The glycan is heptyl α-D-mannopyranoside.
Registration for this target is now open.
pdbe.org/capri
Reposted by Christian Dallago
We've a postdoc opening for our lab at the Broad: Cambridge MA!
Must have experience in toxicology + data science
Work on the wonderful OASIS dataset we are producing... Cell Painting, transcriptomics, proteomics in various liver cell and tissue models!
broad.io/mlcbpostdoc
Must have experience in toxicology + data science
Work on the wonderful OASIS dataset we are producing... Cell Painting, transcriptomics, proteomics in various liver cell and tissue models!
broad.io/mlcbpostdoc
December 18, 2024 at 3:50 PM
We've a postdoc opening for our lab at the Broad: Cambridge MA!
Must have experience in toxicology + data science
Work on the wonderful OASIS dataset we are producing... Cell Painting, transcriptomics, proteomics in various liver cell and tissue models!
broad.io/mlcbpostdoc
Must have experience in toxicology + data science
Work on the wonderful OASIS dataset we are producing... Cell Painting, transcriptomics, proteomics in various liver cell and tissue models!
broad.io/mlcbpostdoc
Reposted by Christian Dallago
CDC just confirmed the first severe case of #H5N1 in the US in a patient in Louisiana. This virus seems to be the same genotype D1.1 that is spreading in birds at the moment (so not the cattle genotype B3.13) that severely sickened the teenager in Canada.
December 18, 2024 at 4:09 PM
CDC just confirmed the first severe case of #H5N1 in the US in a patient in Louisiana. This virus seems to be the same genotype D1.1 that is spreading in birds at the moment (so not the cattle genotype B3.13) that severely sickened the teenager in Canada.
Reposted by Christian Dallago
Protein language models excel at generating functional yet remarkably diverse artificial sequences.
They however fail to naturally sample rare datapoints, like very high activities.
In our new preprint, we show that RL can solve this without the need for additional data:
arxiv.org/abs/2412.12979
They however fail to naturally sample rare datapoints, like very high activities.
In our new preprint, we show that RL can solve this without the need for additional data:
arxiv.org/abs/2412.12979
December 18, 2024 at 9:06 PM
Protein language models excel at generating functional yet remarkably diverse artificial sequences.
They however fail to naturally sample rare datapoints, like very high activities.
In our new preprint, we show that RL can solve this without the need for additional data:
arxiv.org/abs/2412.12979
They however fail to naturally sample rare datapoints, like very high activities.
In our new preprint, we show that RL can solve this without the need for additional data:
arxiv.org/abs/2412.12979
Reposted by Christian Dallago
Starting the new BSC IA factory. Financed by Europe, Spanish & Catalan governments + contributions from Portugal, Turkey, Romania
New HPC and AI resources at the service of companies (hospitals included)
With Juan Cruz Sec Estado
Núria Montserrat Consellera
Mateo Valero Dir @bsc-cns.bsky.social
New HPC and AI resources at the service of companies (hospitals included)
With Juan Cruz Sec Estado
Núria Montserrat Consellera
Mateo Valero Dir @bsc-cns.bsky.social
December 10, 2024 at 3:47 PM
Starting the new BSC IA factory. Financed by Europe, Spanish & Catalan governments + contributions from Portugal, Turkey, Romania
New HPC and AI resources at the service of companies (hospitals included)
With Juan Cruz Sec Estado
Núria Montserrat Consellera
Mateo Valero Dir @bsc-cns.bsky.social
New HPC and AI resources at the service of companies (hospitals included)
With Juan Cruz Sec Estado
Núria Montserrat Consellera
Mateo Valero Dir @bsc-cns.bsky.social
Reposted by Christian Dallago
We trained a model to co-generate protein sequence and structure by working in the ESMFold latent space, which encodes both. PLAID only requires sequences for training but generates all-atom structures!
Really proud of @amyxlu.bsky.social 's effort leading this project end-to-end!
Really proud of @amyxlu.bsky.social 's effort leading this project end-to-end!
December 9, 2024 at 2:58 PM
We trained a model to co-generate protein sequence and structure by working in the ESMFold latent space, which encodes both. PLAID only requires sequences for training but generates all-atom structures!
Really proud of @amyxlu.bsky.social 's effort leading this project end-to-end!
Really proud of @amyxlu.bsky.social 's effort leading this project end-to-end!