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Profile
| Academic position | PhD Candidate |
|---|---|
| Research fields | Elementary Particle Physics,Artificial Intelligence and Machine Learning Methods |
| Keywords | Model-agnostic anomaly detection, Machine learning based hadronization models, Simulation-Based Inference for SMEFT, Unfolding data to simulation, LHC physics using Machine Learning |
Current contact address
| Country | United States of America |
|---|---|
| City | New Brunswick |
| Institution | Rutgers University |
| Institute | Department of Physics |
Host during sponsorship
| Prof. Dr. Tilman Plehn | Institut für Theoretische Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg |
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Programme(s)
| 2025 | Humboldt Research Fellowship Programme for Postdocs (Global Minds Initiative Germany) |
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