Assistant Professor, Department of AI & Human Health @IcahnMountSinai @AIHealthMtSinai Previously post-doc at @Yale

New York, NY
Joined September 2021
Excited to share that I’ve started as an Assistant Professor in AI & Human Health at @IcahnMountSinai @AIHealthMtSinai. Launching the Liu Lab (liujlab.org) researching AI × digital health × genomics for precision medicine. More to come soon!
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PRESS RELEASE! ARC at Sheba Medical Center & Mount Sinai launch three-year collaboration with NVIDIA to crack the hidden code of the human genome through AI. Read more here: mountsinai.org/about/newsroo… @sheba_medical @nvidia @IcahnMountSinai @MountSinaiNYC
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I am very excited to share that our(@GersteinLab) paper was recently published in Cell! 🎉☺️ doi.org/10.1016/j.cell.2024.… had a lot of fun creating two versions of covert art for our paper: which one do you like more?
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Yale researchers led by @MarkGerstein @JasonJLiu @beaborsari processed smartwatch data ⌚️ from adolescents, extracting "digital phenotype" to train AI models 💻 that better predict psychiatric illnesses and identify related genetic factors 🧬 news.yale.edu/2024/12/19/usi…
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Just found out that we have an immediate postdoc opening for US nationals (citizens/green-card holders). Needs to be filled within 6 months. Lots of fun topics (e.g. biosensors, brain genomics, AI for bio, &c). If interested, see jobs.gersteinlab.org & contact me.
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Jason Liu retweeted
Using smartwatches could help us better understand psychiatric illness. Wearable sensors that continuously collect physiological data may be powerful tools in the effort to better understand conditions like ADHD and anxiety, as well as their genetic drivers, a new Yale study finds: bit.ly/4a7beLR #Yale
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Excited to share our new paper in @CellCellPress on Digital Phenotyping from Wearable Biosensors using AI to characterize Psychiatric Disorders & identify Genetic Associations (led by @JasonJLiu & @beaborsari) doi.org/10.1016/j.cell.2024.…
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Also thanks to @_YunyangLI, @Susannaliu99, Y Gao, X Xin, S Lou, @JensenGenetics, D Garrido, T Verplaetse, @DrGarrettAsh1, @JingZhang_bio, @MattGirgenti, W Roberts @YaleCBB, @YaleMBB, @YaleBIDS, @YalePsych, @YaleCSDept, @GersteinLab, @YaleData, @UCIrvine, @UniBarcelona & @NIMHgov
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Jason Liu retweeted
Congratulations to @JasonJLiu , PhD Candidate in the Computational Biology and Biomedical Informatics (CBB) program, on successfully defending his dissertation, “A Multi-modal Approach to Precision Medicine: Bridging the Gap Between Genetics and Disease Using Genomics and Biosensors,” under the guidance of Dr. @MarkGerstein
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New study conducted by our lab in collaboration with #PsychENCODE has made significant discoveries linking genetic variants to genes and cell types in human brain. #psychencode24 For more details, refer to our original thread: xitter.cf/MarkGerstein/status/17… news.yale.edu/2024/05/23/tra…
New paper on single-cell genomics & regulatory networks for 388 human brains just out in @ScienceMagazine. Neat stuff on single-cell QTLs, cell-to-cell communication, & DL models simulating drug effects (science.org/doi/10.1126/scie…) #PsychENCODE24
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This week in Science, @ScienceAdvances, and @ScienceTM, the #PsychENCODE Consortium lay out findings based on examining human brains at the single-cell level. Learn more: scim.ag/73Y #DecodingTheBrain
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Great thanks to the PsychENCODE consortium organized by @NIMHgov with specific acknowledgment to @geschwindlab @umassmed_zlab @ZhipingWeng @martinowk @lcolladotor @kr_maynard @hyejung_won @MattGirgenti @LabRoussos @CLiu_Upstate @NikosDaskalakis @manoliskellis @panos_roussos...
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New paper on single-cell genomics & regulatory networks for 388 human brains just out in @ScienceMagazine. Neat stuff on single-cell QTLs, cell-to-cell communication, & DL models simulating drug effects (science.org/doi/10.1126/scie…) #PsychENCODE24
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Our stakeholder panel @Yaledata @MarkGerstein @NEACSM @EFSMA_eu discusses need for global guiding standards on device quality and data formatting in consumer sport and fitness wearables. Identifies benefits, priorities, strategies. link.springer.com/article/10…