Biography
I started on CMS as a graduate student at Johns Hopkins, where I performed a precision measurement of the forward backward asymmetry of high mass Drell-Yan events, reconstruction and calibration of the pixel detector and new AI techniques. I joined Fermilab as a postdoc in 2022.
My main research interests involve novel applications of AI which can enhance the physics capabilities of CMS. I have been particularly focused on anomaly detection, where one uses AI to look for signs of new particles without specifying their exact properties. I led the first application of anomaly detection to CMS data in a search for heavy resonances decaying to two anomalous jets. I also work on applying generative models to speed up simulations of calorimeter showers, and deployment of AI models into the upgraded CMS trigger. I also work on developing new AI methods and new ways they can be applied in high energy physics.
Personal website: https://ozamram.github.io/