Ivy Li
physics phd student @ rice university | astroparticle physics | machine learning | writing
Hi! I develop machine learning models to be used in the direct search for dark matter by particle detectors such as XENONnT. My research is advised by Prof. Christopher Tunnell. I work alongside many awesome folks both at Rice and around the world in the XENON collaboration. I also am a maintainer of XENONnT’s MongoDB setup.
Currently, I have a few ongoing projects:
- improve the inference of particle interaction energy inside the detector
- forecast the correct waveform shapes of large ionization signals in time-series data
- compress spatiotemporal data taken by our photosensors with autoencoders
Please see my ORCID for a full list of publications.
Although I mostly work on techy stuff these days, I enjoy writing about non-techy stuff too. In undergrad, I served as a department editor for MIT’s student newspaper The Tech where I covered the arts and culture scene in the greater Boston area. I’ve also been recognized for my poetry, fiction, and humanities essays and write non-technical articles for The Rice Thresher.