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Achievement: StarstruckAchievement: Pull Sharkx2

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@nquaz
Noushin Quazi nquaz
B O L D
@Ookenfooken
Ookenfooken
@aleksandrskoselevs
aleksandrskoselevs
@sashkarivkind
sashkarivkind
@changmin-yu
Changmin Yu changmin-yu
https://changmin-yu.github.io/
@carlashworth
Carl Ashworth carlashworth
3rd Year PhD student at the University of Cambridge

University of Cambridge United Kingdom

@MMathisLab
Mackenzie Mathis MMathisLab
PI @AdaptiveMotorControlLab | CEBRA | DeepLabCut | co-founder @kinematik-ai

@AdaptiveMotorControlLab

@AlexEMG
Alexander Mathis AlexEMG
Computational neuroscience, machine learning & computer vision

École Polytechnique Fédérale de Lausanne (EPFL) Geneva, CH

@charlieblue17
Cristina Savin charlieblue17

NYU

@lreining
Lars Reining lreining
@tachukao
tachukao
computational neuroscience, machine learning
@marineschimel
marineschimel
@thexaq
Xaq thexaq

BCM, Rice

@matelengyel
matelengyel
@SCENE-Collaboration
SCENE: Simons Collaboration on Ecological NEuroscience SCENE-Collaboration
@dkornai
Daniel Kornai dkornai
Computational Neuroscience and Machine Learning PhD @ Cambridge

London

@behinger
Benedikt Ehinger behinger
@cristinarodriguezarribas
Cristina cristinarodriguezarribas
Predoctoral researcher

Universitat de Barcelona

@ASKurz
A. Solomon Kurz ASKurz
Got my doctorate in clinical psychology in 2018. Currently a clinical research psychologist working to improve the lives of US war veterans.
@charleywu
Charley Wu charleywu
Professor of Computational Cognitive Science

TU Darmstadt

@AlexanderFengler
Alexander Fengler AlexanderFengler

Brown University / @pymc-labs Providence, RI

@ag-perception-wallis-lab
Perception lab at the TU Darmstadt ag-perception-wallis-lab

Germany

@AdrienCorenflos
Adrien Corenflos AdrienCorenflos

University of Warwick United Kingdom

@pixelsandpointers
Ben Beilharz pixelsandpointers
PhD student – physically based (differentiable) rendering, material appearance modeling, and visual perception.

@ag-perception-wallis-lab Germany

@Maexxel
Maexxel
@probml
Probabilistic machine learning probml
Material to accompany my book series "Probabilistic Machine Learning" (Software, Data, Exercises, Figures, etc)
@igrahek
Ivan Grahek igrahek
Postdoc at Brown University

Brown University Providence, RI, USA

@dekuenstle
David-Elias Künstle dekuenstle
Ph.D. student at the University of Tuebingen in machine learning & psychophysics.

@wichmann-lab Germany, Tübingen

@junpenglao
Junpeng Lao junpenglao
I used to do brain stuff.

@google Zurich, Switzerland

@dominikue
dominikmg dominikue
@DanielaPamplona
Daniela Pamplona DanielaPamplona

UPEC France

@harrisonritz
Harrison Ritz harrisonritz

@PrincetonUniversity

@tobnie
Tobias Niehues tobnie
PhD Student @RothkopfLab, Technical University of Darmstadt

Technical University of Darmstadt Darmstadt, Germany

@acerbilab
acerbilab acerbilab
Machine and Human Intelligence Research Group - University of Helsinki

Finland

@LukasManinger
Lukas LukasManinger
…

Germany

@mschulth
Matthias Schultheis mschulth
PhD at TU Darmstadt in Germany (SOS and @RothkopfLab)

TU Darmstadt Darmstadt, Germany

@jhryuj
Joshua Ryu jhryuj
@lacerbi
Luigi Acerbi lacerbi
Machine learning, Bayesian optimization, approximate inference, computational cognitive neuroscience, AI tools.

University of Helsinki Helsinki, Finland

@RobertTLange
Robert Tjarko Lange RobertTLange
Meta-Discovery @SakanaAI 🕵️

Tokyo, Berlin, Barcelona, London

@tomwallis
Tom Wallis tomwallis
Professor of psychology, Technical University of Darmstadt

Technical University of Darmstadt Germany

@chkoss
Christina Koß chkoss

Technical University of Darmstadt Germany

@nwitzig
nwitzig
@NiteeshMidlagajni
Niteesh Midlagajni NiteeshMidlagajni
@MaxRae
Max MaxRae
Student in Germany
@TheaBehrens
TheaBehrens
@flxapps
Felix Heller flxapps
@SaschaStenger
Sascha Stenger SaschaStenger
@PanGuts
PanGuts
@PowerPowl
PowerPowl
@a-konopelko
a-konopelko