Scholar
Matthew E. Levine
Google Scholar ID: QUs08XEAAAAJ
Research Scientist, Basis Research Institute
Citations & Impact
Citations
918
H-index
17
i10-index
23
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, such as 'Canonical Bayesian Linear System Identification' and 'CD_Dynamax'; defended PhD thesis 'Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data'.
Research Experience
- Research Scientist at Basis Research Institute, working on developing new collaborations.
Education
- PhD in Computing + Mathematical Sciences, 2023, Caltech (Advisor: Andrew Stuart); BA in Biophysics, 2015, Columbia University.
Background
- Research Scientist focusing on improving the prediction and inference of biological and physical systems by blending machine learning, mechanistic modeling, and data assimilation techniques. Worked substantially in the biomedical sciences and enjoys collaborating on impactful applied projects. Also an affiliate of the MIT Uncertainty Quantification group and Broad Institute’s Eric and Wendy Schmidt Center.
Miscellany
- Interests include Dynamical Systems, Machine Learning, Data Assimilation, and Biomedicine.
