Hello and welcome to my personal page! I am a PhD student in the Department of Physics at UW–Madison and a research assistant at the Data Science Institute working under the advisorship of Prof. Kyle Cranmer.
My research focuses on the intersection of physics and machine learning. By treating machine learning as a physical system, I study it as a phenomenon to be understood through controlled experiments, well-defined datasets, and falsifiable hypotheses. Conversely, by using machine learning as a tool, I work on accelerating discoveries in physics across a variety of fields, including high energy physics and fusion.
TL;DR: I work on AI and AI for science!
In my spare time, you can find me traveling to new cities to try out unique foods, playing tennis when the sun’s out, or video gaming whenever I’m trapped at home.
Ph.D. in Physics, Ongoing
University of Wisconsin–Madison
M.S. in Computer Engineering, 2023
Middle East Technical University
B.S. in Physics, 2019
Middle East Technical University
A Deep Learning Approach to Particle Identification for the AMS Electromagnetic Calorimeter
The New Monitoring Interface for the AMS Experiment
Radiation Testing of Commercial Rechargeable Lithium Polymer Batteries for Small Satellite Applications
I’ve worked on a variety of projects in the past, ranging from silicon detector calibrations and time series monitoring systems to quantum computing and machine learning.
Most recently, I was a High Energy Particle Physics Researcher at the AMS Experiment working on the upgrade of the AMS Monitoring Interface, a system my colleagues at AMS and I built a few years ago.
Just before that, I was a master’s student in the department of Computer Engineering at METU working in the field of astroparticle physics. During my degree, I worked as a research assistant at METU ImageLab for a while, but was primarily a graduate researcher at METU IVMER and an affiliate at CERN working on the AMS Experiment.