PhD candidate @ColumbiaNeuro @cu_neurotheory with Ashok Litwin-Kumar. Formerly with @johndmurray @YaleCompsci and @GJEHennequin @Cambridge_Uni.

Joined July 2016
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Interested in dopaminergic learning, interaction of appetitive and aversive learning systems, & history-dependent modulation of learning? Come by my #cosyne2026 poster tomorrow! Now with a general model also applicable to striatal learning in mammals.
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This was such a great project led by the hard-working PhD student @fatima1amin and @syncrostone from Gerber and Litwin-Kumar labs and further collab with @ikadow, @OwaldD, @SalilBidaye labs. We demonstrate circuit mechanisms for action🏃‍♀️--> ☹️valence relationships in Drosophila!
🚨🚨My PhD work pre-print🚨🚨 Check it out 👇👇 'Avoidance engages dopaminergic punishment in Drosophila' It's a great collaborative enterprise and can't thank enough to my mentors and collaborators for the kindest efforts...fingers crossed 🤞🤞
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Excited to speak @RLDMDublin2025 later today! Find me at poster #74 after.
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Now with #RLDM2025!
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Exciting postdoc position between the labs of @lengyel_m @GJEHennequin (Cambridge U) and @DMWolpert (Columbia U) to study the neural network mechanisms of context-dependent (continual) motor learning. Máté and I will be at Cosyne, come talk to us! jobs.cam.ac.uk/job/44808/

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Just landed in Lisbon🇵🇹 for #Cosyne2024! Stop by my poster tonight to chat about dopamine, reinforcement learning, drosophila, and avoidance behavior serving as reinforcement. [1-129] Reinforcement of valence through action
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Thank you for this spotlight! @ZuckermanBrain
(1/6) A violinist and former synchronized swimmer, Jasmine Stone has spent a lot of time considering not only how we learn to move, but how our movements inform our learning. 🎻🧠 🏓 📷 Stone explains how brain networks are connected.
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A fantastic course with a great tradition! Honored to direct it together with @roozbeh_kiani. Thanks to Xiao-Jing Wang, Steve Baccus and all the previous directors, and of course, thanks to the @MBLScience team. Apply here: mbl.edu/education/advanced-r…
Replying to @MBLScience
Methods in Computational Neuroscience (MCN) 🧠💻 July 24 - Aug. 20, 2024 Applications due: Feb. 28, 2024
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Apply to join MBL's Computational Neuroscience Course! Learn from experienced lecturers, dive into hands-on exercises, join a vibrant community, and enjoy a delightful summer month in scenic Woods Hole. Deadline: Feb 28. Help spread the word!
A fantastic course with a great tradition! Honored to direct it together with @roozbeh_kiani. Thanks to Xiao-Jing Wang, Steve Baccus and all the previous directors, and of course, thanks to the @MBLScience team. Apply here: mbl.edu/education/advanced-r…
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Recently wrote an introduction to reinforcement learning for neuroscience that I just put on arXiv for those who might find it useful: arxiv.org/abs/2311.07315 It also includes a Google Colab with all the code: tinyurl.com/4wypnc5d
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So much fun presenting with @syncrostone at #SfN23
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I am very excited to announce that I will start my own lab at the Grossman Center at @UChicago_Brains in late winter 2024! I am looking forward to working alongside with its members and the rest of the Dept. of Neurobiology. I'll start hiring soon, reach out if interested!
We at the Grossman Center @UChicago_Brains are excited to announce that we have just hired two exceptionally talented tenure-track Computational Neurosciencetists!
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We are delighted to announce that Dr Agostina Palmigiano (@APalmigiano) will join the Gatsby Unit as Lecturer in January, developing data-driven theoretical approaches to uncover neural mechanisms underlying cognitive functions. Learn more at ucl.ac.uk/gatsby/news-and-ev…
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Check out @NatureNeuro September issue’s cover, featuring new research by @zuckermanbrain's Sam Muscinelli @SMusciMol and Ashok Litwin-Kumar: #sciart #neuroscience
Our September issue is now live! nature.com/neuro/volumes/26/…
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Forcing Python to no longer be open-source would be a true disaster from the EU From today's @bensbitesdaily
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Very excited to share our recent work w/ @kao_calvin & @GJEHennequin! We investigated when & why motor preparation arises in RNN models of motor control. Is preparation optimal for RNNs performing delayed reaching tasks? Spoiler: it is! (1/5) biorxiv.org/content/10.1101/…
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15 Dec 2022
Please RT! We're #hiring a #postdoc to develop graph-based models and high-dimensional ML methods to analyze dynamical networks. Collab w/@schoeneberglab @FleurMFerguson using cutting-edge 4D lattice light-sheet imaging. Join our multi-disciplinary team! academicjobsonline.org/ajo?j…

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