Scholar
Jason Fleischer
Google Scholar ID: MxaZYzUAAAAJ
Princeton University
Citations & Impact
Citations
2,471
H-index
25
i10-index
46
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- A team member's work on AI for COVID-19 was chosen as a best abstract in the European Respiratory Conference; a paper on topological phase transitions was published in Nature Photonics.
Research Experience
- Works at Princeton University's Department of Electrical Engineering; research areas cover microscopy, computational photography, and biomedical imaging.
Background
- Research interests include optical hydrodynamics, statistical physics using incoherent light, and quantum optics. Focuses on optimizing imaging systems through computation, materials science, and digital technology.
Miscellany
- Utilizes machine learning for classifying dynamics in physics and for determining disease, guiding treatment, and predicting patient outcomes in biomedical imaging, with contributions to the response against the COVID-19 pandemic.