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After a PhD at Goethe University in Frankfurt, studying the role of different forms of plasticity in unsupervised learning,  Cristina worked as postdoctoral researcher at Cambridge U. developing normative models of memory. This was followed by a short stint at ENS in Paris, modeling probabilistic computation in spiking neurons, and an independent research fellowship at IST Austria, building statistical tools for quantifying learning in multiunit recordings. Since 2017 she is an Assistant Professor in Neural Science and Data Science at NYU.


Edoardo has bachelor and MS in Mathematics from Milan University, and a PhD in Neuroscience from the Italian Institute of Technology in Genova. He is currently developing statistical tools for neural analysis of population activity during naturalistic behavior, in collaboration with the Angelaki lab.



David has a B.S. in Chemistry and a B.A. in Mathematics and Italian from Indiana University and a PhD in Physical Chemistry from Princeton, followed by a postdoc with Il Memming Park at Stony Brook University. He is broadly interested in understanding and manipulating low-dimensional neural dynamical systems, with a particular application to cognitive processes such as decision making


PhD student​ (co-advised by Eero Simoncelli)

Julie has a BSc in mathematics from the University of Hong Kong. She aims to develop a normative theory of how temporal prediction guides learning and how such mechanisms are implemented in the brain. She is also interested in applying these insights to artificial neural networks and engineering problems.


PhD student​ (co-advised by Christine Constantinopole)

Danilo graduated from the University of Puerto Rico at Cayey in 2017 with a B.S. in Chemistry.  For his doctoral research, he is interested in developing computational methods for the characterization of low-dimensional structure of neural firing patterns during decision making. 

PhD student (co-advised by Dima Rinberg)

Pedro has a B.S. in Biochemistry and a M.S. in Physics from Autonomous University of Madrid, and a MS in Bioinformatics from NYU. His research combines experimental  approaches (in Rinberg lab) and machine learning with the aim of understanding how odors are encoded in neural activity. He is also interested in using these insights to develop new biotechnologies. 


PhD Student (co-advised by Weiji Ma)

Jeroen has a M.Eng. and B.A. in Information and Computer Engineering from the University of Cambridge. He studies learning in the brain by analyzing online learning algorithms in time series models, which he aims to generalize to neural circuit models and validate on neural recordings. He’s also interested in reinforcement learning and how it can help us understand behavior.


PhD Student (co-advised by Eero Simoncelli)

Ben has a B.A. in Physics from the University of Chicago. Using tools from machine learning and physics, he studies how the brain uses its prior knowledge of the visual world to perform optimal inference across a diverse array of perceptual tasks.


PhD Student

Camille has an B.A. in Physics and Biophysics from Princeton University. She is broadly interested in sensory integration, and studies spiking models for how the brain may represent, manipulate, and read out this information in populations of neurons.

Current rotation students/interns/visitors

Isabel Garon (CNS)

Gauthier Boeshertz (visiting MS from ETH Zuerich)

Heike Stein (visiting postdoc ENS Paris)

Sam Tang (CDS)

Richard-John Lin (CDS)

Jianming Hu (Courant)


Colin Bredenberg, PhD; now postdoc MILA

Caroline Haimerl, PhD; now postdoc Champalimaud

Owen Marschall, PhD; now postdoc Columbia U.

Other past lab members

Yanqi Xu  - collaborator

Daniel Im - rotation

Anthony Chen - rotation

Elliott Capek - rotation

Xinyuan Zhao - rotation

Sam Zheng - rotation

Abdiel Cortes  (undergrad research, CDS)

Bria Ross-Butler (undergrad research, CDS)

Thomas Edward Yerxa - rotation

Heejae Jang - rotation

Jintao Gu - rotation 

Andrea Cumpelik - visitor (IST Austria)

Laura Green - rotation

Conor McGrory - research assistant

Rong Zhao - intern

Klavdia Zemlianova - rotation

Katie Ross - undergraduate intern

Nicole Tomassi - undergraduate intern

Peyiao Hu - rotation

Roman Huszar - rotation

Shenghao Lin - undergraduate intern

Danielle Beam (MD-PhD)

Hank Zhang (NYU Shanghai)

Collaborators (past and present)


Dora Angelaki, NYU

Roozbeh Kiani, NYU

Rob Froemke, NYU

Christine Constantinopole, NYU

Dima Rinberg, NYU

Eero Simoncelli, NYU

Jozsef Csicsvari, IST Austria, AT

Peter Dayan, Gatsby Unit, UCL, UK

Sophie Deneve, Group for Neural Theory, ENS Paris, FR

Andre Fenton, NYU

Joszef Fiser, CEU Budapest, HU

Mate Lengyel, CBL, Cambridge University, UK

Joerg Luecke, Oldenburg University, DE

Gasper Tkacik, IST Austria, AT

Open positions

Two postdoc openings in neural data analysis!!!

Will not be taking new interns

for the summer.

Contact CS for potential rotation

projects and for informal

PhD/Postdoc queries.


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