Biological & Biomedical

Modeled neurons form a synapseBiological systems present many of the richest functions ever observed. Interacting with such systems in sophisticated ways is essential for advancing public health, environmental sustainability, and scientific understanding. Electrical engineering provides powerful tools and technologies for such interactions, including diverse sensing/actuation modalities, algorithms for data analysis and control, and computing platforms for realizing advanced algorithms.

An increasingly quantitative understanding of biology is both driven by and further driving the adoption of these tools and technologies, forming a critical connection between electrical engineering and biology. Harnessing this requires deep understanding of biology together with electrical-engineering fundamentals. At Princeton, this understanding comes from highly interdisciplinary research, reaching out to natural sciences, medicine, and society at large.

Faculty

  • Stephen Chou

  • Jason W. Fleischer

  • Niraj Jha

    • Niraj Jha
      • Professor of Electrical Engineering
  • Sun-Yuan Kung

  • Peter J. Ramadge

    • Peter J. Ramadge
      • Gordon Y.S. Wu Professor of Engineering
      • Director of the Center for Statistics and Machine Learning
  • Kaushik Sengupta

    • Kaushik Sengupta
      • Associate Professor of Electrical Engineering
      • Director of Graduate Studies
  • James Sturm

    • James Sturm
      • Stephen R. Forrest Professor of Electrical Engineering
      • Director of Undergraduate Studies
  • Naveen Verma

  • Gerard Wysocki

    • Gerard Wysocki
      • Associate Professor of Electrical Engineering
      • Director of MIRTHE+