Machine Learning and Instrument Autonomy Group

Science Serving Data Science

MLIA is leading JPL’s efforts to support scientists in Astronomy, Planetary Science, and Earth Science to gain insight and process-level understanding from large and complex data. Our approach on Data Science for Science Understanding (SUDS) is changing how research is performed across JPL and beyond.

Areas of Expertise

Science Insight from ML

      ▸ Large & complex data discovery
      ▸ Catalog purification & exploration
      ▸ Physical & ML model fusion
      ▸ Identification of key drivers
      ▸ Bias discovery & correction
      ▸ Uncertainty Awareness
        

Interpretable Modeling

      ▸ Publication-supporting product quality & delivery
      ▸ Explainable, justifiable model selection
      ▸ Interpretable model behavior
      ▸ Rigorous performance statistics
      ▸ Physical model acceleration
      ▸ Global scalability / applicability



Current Projects


  • Mars Target Encyclopedia (MTE)



  • SUDS Council



  • Past Projects

  • Adaptive Data Processing for Next Generation Radio Arrays



  • Harvist



  • Landmarks



  • IMBUE



  • MISR