Department of Physics
University of Wisconsin-Madison
1150 University Avenue
Madison, WI 53706
United States
Ameya Thete
thete [at] wisc [dot] edu
Hi there! I am a second-year Ph.D. student in Physics at the University of Wisconsin-Madison, where I am advised by Dr Tulika Bose. I graduated from BITS, Pilani—Goa in 2023 with bachelor's degrees in Physics and Computer Science.
My research aims broadly to understand and characterize interactions between fundamental particles by analyzing high-energy proton-proton collision data collected by the Compact Muon Solenoid (CMS) Experiment at CERN in Geneva, Switzerland. Concurrently, I work on the R&D of software tools, with an emphasis on the use of heterogeneous hardware acceleration, to support the computing infrastructure required by the High-Luminosity LHC, due to start in 2030.
In my free time, I enjoy going on long walks through hiking trails, collecting public transit fare cards, and semi-professionally reviewing dosas.
My name is pronounced /uh-MAY-yuh/.
News
- Apr 2025: My [poster] on our work on the hardware-acceleration of Madgraph5_aMC@NLO won the best overall poster award at the U.S. CMS Annual Collaboration Meeting in Houston, TX!
- Aug 2023: I joined the Physics PhD program at UW-Madison!
- Jul 2023: I graduated (with distinction) from BITS Pilani!
- May 2023: I submitted my bachelor's [thesis]!
- Oct 2022: Check out our [poster] on SO(2)-equivariant particle tracking accepted to the 21st ACAT at Bari, Italy!
- 2001: Born
Recent/Upcoming Invited Talks
Research
See [publications] for a full list of papers.
Theses
-
Score-based Generative Models for Detector Reconstruction and Fast Simulations in High-Energy Physics
Ameya Thete
Bachelor's Thesis, Birla Institute of Technology and Science, Pilani. May 2023.
Particle Physics
- Equivariant Graph Neural Networks for Charged Particle Tracking [poster]
Daniel Murnane, Savannah Thais, Ameya Thete
21st ACAT, Bari, Italy. October 2022.
Multimessenger Astrophysics
- Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
Ameya Thete, Kinjal Banerjee, Tuhin Malik
Phys. Rev. D 108, 063028
Projects
Madgraph5_aMC@NLO for GPUs: Contributing to ongoing software R&D towards porting the Madgraph5_aMC@NLO Monte Carlo event generator onto GPUs.Teaching
University of Wisconsin-Madison- Physics 202: General Physics (Fall 2024)
- Physics 202: General Physics (Spring 2024)
- Physics 202: General Physics (Fall 2023)
Miscellaneous Content
- A modest photoblog logging my opinions and reviews about dosas I've tried across India and the United States.