Dr Roarke Horstmeyer

Biomedical Engineering

Associate Professor of Biomedical Engineering

Dr Roarke Horstmeyer Profile Photo
Dr Roarke Horstmeyer Profile Photo

Research Interests

Computational optics, machine learning, and designing new algorithms for image processing. A main focus is to improve how we capture and use images of microscopic phenomena within a range of biomedical contexts. In general, I like to create new optical devices that can improve the utility of the information that we can gather about the world around us.

Bio

Roarke Horstmeyer is an assistant professor within Duke's Biomedical Engineering Department. He develops microscopes, cameras and computer algorithms for a wide range of applications, from forming 3D reconstructions of organisms to detecting neural activity deep within tissue. His areas of interest include optics, signal processing, optimization and neuroscience. Most recently, Dr. Horstmeyer was a guest professor at the University of Erlangen in Germany and an Einstein postdoctoral fellow at Charitu00e8 Medical School in Berlin. Prior to his time in Germany, Dr. Horstmeyer earned a PhD from Caltechu2019s electrical engineering department in 2016, a master of science degree from the MIT Media Lab in 2011, and a bachelors degree in physics and Japanese from Duke University in 2006.

Education

  • B.S. Duke University, 2006
  • Ph.D. California Institute of Technology, 2016

Trainings & Certifications

  • Guest Professor, Friedrich-Alexander-Universitu00e4t Erlangen-Nu00fcrnberg (Germany) 2018 - 2022 (2018 - 2022) Friedrich-Alexander-Universitu00e4t Erlangen-Nu00fcrnberg (Germany)

Positions

  • Associate Professor of Biomedical Engineering
  • Associate Professor in the Department of Electrical and Computer Engineering
  • Faculty Network Member of the Duke Institute for Brain Sciences

Courses Taught

  • ISS 796T: Bass Connections Information, Society & Culture Research Team
  • ISS 795T: Bass Connections Information, Society & Culture Research Team
  • ISS 396T: Bass Connections Information, Society & Culture Research Team
  • ISS 395T: Bass Connections Information, Society & Culture Research Team
  • EGR 393: Research Projects in Engineering
  • EGR 101L: Engineering Design and Communication
  • BME 793: Graduate Independent Study
  • BME 792: Continuation of Graduate Independent Study
  • BME 791: Graduate Independent Study
  • BME 789: Internship in Biomedical Engineering
  • BME 548L: Machine Learning and Imaging (GE, IM)
  • BME 494: Projects in Biomedical Engineering (GE)

Publications

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