P.I.

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.

Postdoc

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 studying the representation of uncertainty in neural circuits.

Postdoc

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

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PhD student​ (co-advised by Eero Simoncelli)

Colin has a BPhil in mathematical biology and neuroscience from the University of Pittsburgh. He uses machine learning and dynamical systems techniques to study how the visual system learns to represent images, while coping with noise in both the environment and the activities of neurons themselves.

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PhD student​ (co-advised by Eero Simoncelli)

Caroline has a B.S. in Statistics and a B.S. in Psychology from the University of Vienna. She studies the processes supporting the encoding/decoding of sensory information and the functional role of latent modulation.

Check out her recent Cosyne talk!

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. 

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PhD Student

Owen has a B.A. in Mathematics and Physics from Amherst College. His research involves developing  machine learning techniques to understand how the brain learns statistical regularities from sequences of inputs, by building biologically-plausible approximations to backpropagation through time. 

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PhD Student

Camille has an A.B. 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

Yanqi Xu

Xueyan (Julie) Niu

Daniel Im

Abdiel Cortes  (undergrad research, CDS)

Bria Ross-Butler (undergrad research, CDS)

Past affiliates

Xinyuan Zhao - rotation

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

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

No current openings.

Will not be taking new interns

for the summer.

Contact CS for potential rotation projects and for informal

PhD/Postdoc queries.

You?