Ameya Thete
thete [at] wisc [dot] edu
Hi there! I am a first-year Ph.D. student in Physics at the University of Wisconsin-Madison. I graduated from BITS, Pilani — Goa in 2023 with bachelor's degrees in Physics and Computer Science.
I'm interested the development of machine learning algorithms to augment current data analysis techniques in experimental particle physics at the Large Hadron Collider. So far, my research has focused on using geometric deep learning algorithms in tandem with symmetry-equivariant architectures to (i) simulate particle physics interactions with granular calorimeter detectors; and (ii) develop accelerated particle tracking algorithms.
In my free time, I enjoy going on long walks through hiking trails, aquascaping, and semi-professionally reviewing dosas.
My name is pronounced Ameya (“uh-may-yuh”).
News
- 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!
- Aug 2022: New manuscript on Inferring the dense matter equation of state from neutron star observations via ANNs.
- Jun 2022: I've joined IRIS-HEP as a summer research fellow! [webpage]
- 2001: Born
Recent/Upcoming Invited Talks
Research
My research focuses on the development of machine learning algorithms for experimental particle physics searches at the LHC.See [publications] for a full list of papers.
Theses
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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
About Me
I did my undergrad in Physics and Computer Science at BITS, Pilani - Goa. I'm broadly interested in experimental particle physics. In the past, I have worked as a summer fellow at IRIS-HEP (with Daniel Murnane and Savannah Thais), and APPCAIR, BITS Goa (with Lovekesh Vij and Tirtharaj Dash), and have also done research in neural network quantum states, multimessenger astrophysics, and quantum field theory. I am grateful for past financial support during my undergrad from the Department of Science and Technology, India through the INSPIRE-SHE scholarship. [ORCID]
This version of my website is (heavily) borrowed from Preetum Nakkiran and Luca Trevisan.
Miscellaneous Content
- A modest photoblog logging my opinions and reviews about dosas I've tried across India.