Welcome to my personal web page. I am currently working as an Research Associate at Brookhaven National Laboratory (Upton, NY) in the software and computing group for Relativistic Heavy Ion Collider's STAR experiment.  

During 2023 to early 2015, I worked as a Postdoctoral Research Associate at UT Knoxville, specializing in the exploration of RPV supersymmetry within multijet final states, employing attention-based neural networks. My research extends to investigating soft unclustered energy patterns in scouting datasets to unveil potential traces of dark matter.

I earned my Ph.D. in experimental particle physics from Baylor University in August 2023, where I conducted comprehensive big data analysis on Run 2 data from the CMS experiment at CERN. Throughout my Ph.D. journey, which commenced in 2017, I also contributed as a graduate teaching assistant for Physics Labs during the initial years.

My academic journey started in 2012 when I joined National Institute of Technology, Rourkela, India (Integrated Master of Science in Physics). During this period (2012-2017), I delved into theoretical physics, employing a range of mathematical techniques, got involved in a couple of summer internships.

Upon joining the CMS experiment at CERN in 2017, I initially focused on programming in C++ and utilizing ROOT software. My skill set expanded to include Python and machine learning. Noteworthy experiences include a 2019 visit to CERN for installation activities and radioactive sourcing of the HCAL detector, as well as a 2022 stint involving power modules in micro TCA systems and a PyTorch-based energy regression project for the HGCAL detector.

My primary thesis project centered on the quest for electroweak supersymmetry in hadronic final states, requiring extensive data analysis and statistical modeling of diverse backgrounds. This research journey ignited my profound interest in the realm of machine learning, notably showcased in projects such as my thesis work and another focused on energy regression using graph neural networks.

For more details on my research experience, please visit my featured research profile: https://graduate.baylor.edu/person/ankush-kanuganti