| Year | Student | Advisor | Thesis Title | ||||
| 2022 | Jun Yin | Finkbeiner |
Improving our view of the Universe using Machine Learning |
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| 2021 | Kexin Yi | Finkbeiner | Neural Symbolic Machine Reasoning in the Physical World | ||||
| 2021 | Tyler St. Germaine | Kovac | Beam Systematics and Primordial Gravitational Wave Constraints from the BICEP/Keck Array CMB Experiments | ||||
| 2020 | Nicholas Mondrik | Stubbs | Calibration Hardware and Methodology for Large Photometric Surveys | ||||
| 2019 | Michael Rowan | Narayan | Dissipation of Magnetic Energy in Collisionless Accretion Flows | ||||
| 2019 | Andrew Chael | Narayan | Simulating and Imaging Supermassive Black Hole Accretion Flows | ||||
| 2019 | Victor Buza | Kovac | Constraining Primordial Gravitational Waves Using Present and Future CMB Experiments | ||||
| 2018 | Jae Hyeon Lee | Eisenstein | Prediction and Inference Methods for Modern Astronomical Surveys | ||||
| 2018 | Albert Lee | Finkbeiner | Mapping the Relationship Between Interstellar Dust and Radiation in the Milky Way | ||||
| 2018 | Tansu Daylan | Finkbeiner | A Transdimensional Perspective on Dark Matter | ||||
| 2018 | Jake Connors | Kocx | Channel Length Scaling in Microwave Graphene Field Effect Transistors | ||||
| 2017 | Michael Coughlin | Stubbs | Gravitational Wave Astronomy in the LSST Era | ||||
| 2017 | Natalie Mashian | Loeb | Modeling the Constituents of the Early Universe | ||||
| 2016 | Anna Patej | Eisenstein/Loeb | Distributions of Gas and Galaxies from Galaxy Clusters to Larger Scales | ||||
For a more complete list please press this link: physicsastronomy_dissertations.pdf
 | physicsastronomy_graduates-1.pdf | 60 KB |