The Tianqiao and Chrissy Chen Institute for Neuroscience at Caltech draws upon Caltech's strengths across a broad range of disciplines.

Pasadena, CA
Joined June 2019
Caltech Neuroscience retweeted
📢 Applications are open! This meeting brings together scientists using data-driven AI to analyze + model neural circuits and uncover how the brain performs complex computations. 🍽️ Meals + lodging covered Apply by May 28 ➡️ janelia.news/NAI26 @hhmi_science @HHMIJanelia
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Caltech Neuroscience retweeted
Come to see us at #39 in the graduate school fair of #SfN25 @SfNtweets to learn about the wonderful programs in @CaltechN at @Caltech . We are here to answer questions about Phd in Computational neuroscience, Neurobiology, MD/PhD and postdocs!
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Caltech Neuroscience retweeted
I’m off to #SfN2025! Grateful for the TPDA sponsor from @SfNtweets and representing @CaltechN I will present in two sessions.👇 I’m seeking 2026 postdoc positions in animal cognition/naturalistic behaviors. If you’re looking for a neuroethologist/mouse whisperer, contact me!
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Caltech Neuroscience retweeted
We're hiring postdocs! Come join our team.
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Congratulations to Li Ye, PhD (Stanford/HHMI) — winner of the 2025 SfN Tianqiao & Chrissy Chen Young Investigator Award! 🎉 His tools (CLARITY, CAPTURE, HYBRID, CATCH) are transforming how we see the brain, linking activity, genes & behavior. 🧠✨ ow.ly/o0AZ50X4JwT Award supported by @ChenInstitute. #Neuroscience #Innovation
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Caltech Neuroscience retweeted
Thank you Professor Markus Meister for being our guest at the @NeuroTechers Fireside Chat. We enjoyed the thoughtful, wide-ranging discussion. Stay tuned for future events from us 🔥🧠 @CaltechN
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Caltech Neuroscience retweeted
7/end✨ Finally, a shout-out to a fantastic collaboration with @SumnerLN, @TanterM (@PhysMedParis), C. Liu & V. Christopoulos (@USC), @mikhailshapiro & R. Andersen (@Caltech/@CaltechN). Excited to see where ultrasound-based BMIs go (👀 @ForestNeurotech)
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Meet the 2025 @UCSF Chen Scholars! Each of the Scholars is a young, top-tier junior or mid-career clinician-scientists who has undergone a rigorous selection process. The Scholars form a community of innovative scientists who will pioneer the next generation of medicine and AI research. Learn more about them here: bit.ly/40HuAUp
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We are proud to spotlight 2024 AI Prize finalist @neuronair, who is uncovering patterns in brain activity using machine learning. Watch this video to learn more about his work and journey: bit.ly/4omqevQ
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Dr. @Roobaert_Alizee is redefining how we understand complex systems with AI. Take a closer look at the work that earned her a 2024 AI Prize finalist award in the video here: bit.ly/41tqpvB
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Curious about 2024 AI Prize grand winner winner @ZhuoranQ? Watch this video to learn more about his background and get a closer look at his award-winning research: bit.ly/3HeHxhV
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We're recruiting a technician to help with our work on neurons! 🧠 Great opportunity to work with @di_wu_ and other awesome scientists @Caltech. Please RT.
Job Opening! The Shapiro Lab at Caltech is looking for a Research Technician to accelerate our neuro🧠 efforts. Join us! Please RT. Apply here: tinyurl.com/neurotechnician
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Caltech Neuroscience retweeted
Job Opening! The Shapiro Lab at Caltech is looking for a Research Technician to accelerate our neuro🧠 efforts. Join us! Please RT. Apply here: tinyurl.com/neurotechnician
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Caltech Neuroscience retweeted
The unbearable slowness of being: Humans still clock in at just 10 bits/s. Even after peer review :) Share link for Neuron: authors.elsevier.com/a/1kHVa…, ArXiv: arxiv.org/abs/2408.10234
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Caltech Neuroscience retweeted
The Neuroscience Department at UTSW is hiring! Come work with us: nature.com/naturecareers/job… @UTSWNeurosci
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Caltech Neuroscience retweeted
Nobel Prize Honors Breakthroughs in Protein Design and Structure Prediction The 2024 Nobel Prize in Chemistry celebrates two landmark achievements in protein science: the creation of entirely new proteins and the prediction of protein structures through artificial intelligence. David Baker has pioneered methods to design proteins from scratch, opening possibilities for pharmaceuticals, vaccines, and new materials. Meanwhile, Demis Hassabis and John Jumper developed AlphaFold2, an AI model that accurately predicts the structure of nearly all known proteins, a challenge scientists struggled with for 50 years. These advances allow researchers to design proteins for specific functions and understand complex biological processes more deeply. The work has profound implications across fields such as medicine, biotechnology, and environmental science. Image credit: Ill. Niklas Elmehed © Nobel Prize Outreach
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