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.
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)
Danielle Beam (MD-PhD)
Hank Zhang (NYU Shanghai)
Colin Bredenberg, PhD; now postdoc MILA
Caroline Haimerl, PhD; now postdoc Champalimaud
Owen Marschall, PhD; postdoc Columbia U.
Other past lab members
Yanqi Xu - collaborator
Daniel Im - rotation
Anthony Chen - rotation
Elliott Capek - 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
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
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