His interests are techniques for designing, implementing, and reasoning about multiprocessor algorithms. He is also interested in understanding how neural tissue computes and is part of an effort to do so by extracting connectivity maps of brain, a field calledconnectomics. Nir is the principal investigator of theMultiprocessor Algorithmics Groupand theComputational Connectomics Group.
We develop algorithms, systems and software architectures for automating reconstruction of accurate representations of neural tissue structures, such as nanometer-scale neurons' morphology and synaptic connections in the mammalian cortex.
We develop techniques for designing, implementing, and reasoning about multiprocessor algorithms, in particular concurrent data structures for multicore machines and the mathematical foundations of the computation models that govern their behavior.