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Emily Dunkel

Data Scientist
398K - Science Data Modeling and Computing Group
Jet Propulsion Laboratory, California Institute of Technology
emily.dunkel@jpl.nasa.gov
Summary
CV and Publications

Research Interests

  • Predictive Models
  • Vision-Based Tracking
  • Remote Sensing
  • Machine Learning
  • Deep Learning
  • Physics-Based Modeling

About

Emily is a Data Scientist in the Science Data Modeling and Computing Group, and the Astronomy and Physics Technology Demonstrations Office at the Jet Propulsion Laboratory, California Institute of Technology. She works on projects involving machine learning, computer vision, and physics-based modeling.

Prior to joining JPL, Emily worked in the defense industry, developing physics-based models and deep learning algorithms, as well as at TrueCar, where she was a Statistician. Emily has a Ph.D. in Physics from Harvard University, where she developed methods to model quantum systems. She has bachelor’s degrees in Chemical Engineering and Physics from UCLA.