@cuong_qnguyen Profile picture

Cuong Nguyen

@cuong_qnguyen

Director of AI/ML Engineering @GSK. Previously: AI/ML @Genentech.

Joined March 2013
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Cuong Nguyen Reposted

🎉🪩🎄 Check out our new PerturbView method for easy optical perturbation screens in primary cells and tissues. @TakaKud0 has written a great summary in the quoted thread. Check it out! biorxiv.org/content/10.110…

Our preprint on the development of PerturbView, an Optical Pooled Screening (OPS) technology, is out! Massive thanks to @eric_lubeck for driving the project with me, along with our fantastic mentors, Orit Rozenblatt-Rosen, @LeviAGarraway and Aviv Regev biorxiv.org/content/10.110… 1/



Cuong Nguyen Reposted

Are you attending #NeurIPS2023?💡 I am actively recruiting for a number of open roles at different levels in my team at GSK.ai If you are interested in leveraging AI to understand and advance solutions in health 🏥 please reach out! ✉️


Cuong Nguyen Reposted

Pretty amazing that even Sutton & Barto, Bertsekas, and David Silver with their high quality teaching materials could not achieve what a single OpenAI rumor did: make people on Twitter learn and talk about Q-learning!


Cuong Nguyen Reposted

Last week at the #ICML2023 community meetup, we hosted a panel on the topic of benchmarks and their importance in fostering the development of impactful AI models in drug discovery. The recording is now available here: youtube.com/watch?v=g2rHFQ…


Cuong Nguyen Reposted

As part of our meetup at #ICML2023 on Wednesday, we’ll be hosting a panel with @cuong_qnguyen (@gsk), Alan Cheng (@merck), @imranshaque (@recursionpharma), and @_bunnech (@eth), moderated by @_danielcohen RSVP to secure your spot below: partiful.com/e/RQovXQfUfOAx…

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Cuong Nguyen Reposted

Excited to introduce scKINETICS, an algorithm for joint inference of gene regulatory mechanism and cellular velocity, co-developed by the amazing duo of @CassBurdziak and @juuuulianaar academic.oup.com/bioinformatics…


Delighted to share our latest preprint on Image2Omics - an approach to connect cell shape and multi-omics! Huge shoutout to lead authors Rahil Mehrizi and @arashmeh! Preprint: arxiv.org/abs/2306.09391 Code: github.com/GSK-AI/image2o… Visit gsk.ai to learn more!

Does form follow function in cells? We recently explored the use of machine learning to associate cell shape with multi-omics using Image2Omics - creating a multi-omics map of macrophage states across genetic perturbations and stimulation conditions. In this process, we found..

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Cuong Nguyen Reposted

Coming to @ASCBiology #ascb2023 this December? Consider submitting a talk to the subgroup on Deep Learning and Artificial Intelligence in Cell Imaging! Since it's on my home turf of Boston, I can promise a wicked awesome time. Details in link! ascb.org/cellbio2023/pr…

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Cuong Nguyen Reposted

Happy that CAMPA is out @naturemethods - led by @HannahSpitzer1 & @scottbscience w @lucaspelkmans we developed a conditional autoencoder for multiplexed image analysis, learning subcellular landmarks consistent across perturbations. github.com/theislab/campa nature.com/articles/s4159…

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Cuong Nguyen Reposted

If you're thinking about tackling #raredisease research questions using #machinelearning, we have tips for you in this article in @naturemethods w/ @jinetab @jaclyn_taroni @allawayr, Deepa Prasad, Justin Guinney. Feat. work from @suinleelab and more. rdcu.be/ddgmX

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Cuong Nguyen Reposted

My team at #NVIDIA is hiring for multiple life sciences applied deep learning scientists. Help us build #BioNeMo! - Protein Structure & Design link.mlgill.co/nvidia-protein… - Cheminformatics & Virtual Screening link.mlgill.co/nvidia-cheminf… - Geometric Deep Learning link.mlgill.co/nvidia-geometr…


Cuong Nguyen Reposted

Tweetorial time! We @RecursionPharma mapped consequences of #CRISPR screening of >17K human genes, found a systematic bias confounding all CRISPR screens, traced its molecular cause, and propose a debiasing algorithm.

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Cuong Nguyen Reposted

The order of features in a neural net doesn’t affect its function. But, hypernetworks & models that process neural net weights don’t account for this! Turns out we can encode this permutation invariance in neural functional networks.

How can we design architectures that can process or transform neural networks? We introduce a framework of *Neural Functionals* that process NN weights while respecting their permutation symmetries. Paper: arxiv.org/abs/2302.14040 1/9



Weekend project: LLM-powered QA for cooking-related topics with reference recipes. Thanks @andrewwhite01 for the inspiration!

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