Siyuan Gao (@CarrRickyyy) header
Siyuan Gao (@CarrRickyyy) profile picture

AI @ Linkedin. PhD @ Yale. Yahh Yahh Yahh!

New Haven, CT
Joined July 2014
Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)Photo by Siyuan Gao (@CarrRickyyy)
Siyuan Gao retweeted
What if your agents got better every time they ran? Today we're launching Reflexio — the self-improvement platform for AI agents. It learns from live production traffic, so every interaction makes your agent smarter. Right now, failures, corrections, and wins in production get thrown away — and improving task success from those signals is slow and manual. We felt this pain firsthand. Reflexio closes the loop: when an agent fails, it captures why, distills it into a playbook, and the next run — for any user — starts with that lesson learned. The results so far: • 36% fewer task failures across customer deployments • 47% better responses in head-to-head comparisons • 57% lower token cost on GDPval when a similar task has been seen before And it compounds: playbooks keep refining themselves with every new interaction. Sign up free at reflexio.ai — first 30 days of Pro on us.
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A bit late in posting this … Now out (and on the cover!) of the June issue of AJP: “Transdiagnostic Connectome-Based Prediction of Craving“ Using task-based functional connectomes, we predicted self-reported cravings in 274 individuals with CPM. ajp.psychiatryonline.org/doi…
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In new work out in Medical Image Analysis, we present  CAROT: Cross Atlas Remapping via Optimal Transport. CAROT touches on some of the vibrant areas of functional MRI, predictive modeling, neuroimaging, & connectomics including privacy & open science 1/16 sciencedirect.com/science/ar…
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Thrilled to announce @psychonetrics & I are joining the @Northeastern Center for Cognitive & Brain Health as TT Assistant Professors THIS SUMMER!🎉🥳🍾I'll be in Psych+BioEng! We were struck by the sense of community in the fast-growing Center—a perfect home for our new labs 1/3
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Siyuan Gao retweeted
#MontréalFire Day 5 after An's missing Her parents' Canada Visa was approved yesterday. High living costs in Canada & US + travel will be a big burden on the family’s financial situation. We are raising funds to help cover their travel/living expenses: gofund.me/fba133c9
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Do you do: 👶 fetal/infant/toddler (FIT) neuroimaging? 💻 machine learning? Want to do both? If so, we’re excited to announce a new primer and review on FIT-specific machine learning —a reflection on 100+ studies from the past decade authors.elsevier.com/c/1gZ0j… 1/5
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1/ So excited and proud to share our latest work, out now in @Nature: nature.com/articles/s41586-0…. Despite all we’ve learned from them, models relating brain activity to phenotype fail consistently in a subset of people—specifically, people who defy sample stereotypes. A brief 🧵:
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For our 5⃣ #OSR panel, Dustin Scheinost @DScheinost & Roza Gunes Bayrak @redgreenblues will lead a discussion on Social Bias in Machine Learning. June 23 (10:30 GMT+1) - Featuring four terrific panelists:
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Can’t be there in person, but I’m there in spirit! #OHBM2022 We previously showed how broader-scale/multivariate inference improves power. Our poster builds on that by showing how much we then sacrifice specificity +@DScheinost @mandyfmejia @AndrewZalesky Feel free to DM any qs
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Grateful to have worked with such a fantastic team including @MaxRolison @CarrRickyyy @liang_qinghao Hannah Peterson @JDadashkarimi @M_Farruggia Alice Hahn @sNeuroble @lichsar @AngelPollatou @ajdneuro @DScheinost 2/
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We're hiring postdocs @HDSIUCSD and jointly in collaboration with the Simons Institute at Berkeley academicjobsonline.org/ajo/j… academicjobsonline.org/ajo/f… Please RT! #postdoc #postdocjobs #datascience #AcademicJobs
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I am excited to share my latest work about optimal transport with @DScheinost and @aminkarbasi : Title: Data-driven mapping between functional connectomes using optimal transport preprint: arxiv.org/pdf/2107.01303.pdf code: github.com/dadashkarimi/func… #MICCAI2021 @MICCAI_Society
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Excited to see this paper with @gmishne and @DScheinost published! We embedded both the task and resting-state scans from #humanconnectomeproject on a low-dimensional temporal #manifold. More details in the thread onlinelibrary.wiley.com/doi/…
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5) There are more interesting results in the paper: comparison to PCA, embeddings relationship with participation coefficient, etc. Check out the paper if you are interested!
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