Sebastian Seung
Evnin Professor in Neuroscience
Professor of Computer Science and the Princeton Neuroscience Institute
Co-Director of the Program in Neuroscience
Office:
153 PNI
Neuroscience Institute
Princeton,
NJ
08544
Phone: 609-258-7713
Interdisciplinary Research Area: Bioengineering, Data Science
Research Area: Neuroscience and connectomics: Developing machine learning and social computing technologies for reconstructing neural circuits from high resolution brain images.
Areas of Impact
Bioengineering and Health
Bioengineers at Princeton bring together fundamental questions about how living systems work with an engineering approach to solving problems. While much work in bioengineering aims to improve human health, advances in the field also help address other global challenges, such as sustainable food, energy, water, and materials.
Data Science
Data science accelerates discovery across nearly all areas of science, engineering, and social science. Students and faculty in this area create new data-analysis techniques and harness advanced computing and storage systems to solve problems in biology, the environment, materials science, communications, security, transportation, and many other areas.
Primary affiliation
Computer Science
Princeton has been at the forefront of computing since Alan Turing, Alonzo Church, and John von Neumann were among its residents. The department, now in a period of major growth, has strong groups in artificial intelligence and machine learning, theory, programming languages, graphics and vision, systems and networking, computer architecture, computational biology and neuroscience, security, privacy, and information technology policy.
Princeton Neuroscience Institute (PNI)
The Neuroscience Institute serves as a stimulus for teaching and research in neuroscience and related fields, as well as an impetus for collaboration and education in disciplines as wide ranging as economics and philosophy. Collaborators come from an array of disciplines including mathematics, physics, engineering, chemistry, computer science, ecology and evolutionary biology, and economics. The Institute places particular emphasis on the close connection between theory, modeling and experimentation using the most advanced technologies.
