Education
BS, Physics
GPA: 3.98/4.0
- Departmental Awards: Yee Seung Ng Scholar 2025-26,Edward James Scholar, Deans' List
- Minors: Mathematics and Computer Science
- Relevant coursework: Modern Computational Physics, Introduction to Quantum Computing and Information, Quantum Mechanics, Statistical Mechanics, Abstract Linear Algebra, Applied Complex Variables, Probability and Statistics, Numerical Analysis, Vector and Tensor Analysis, Data Structures
BS, Astronomy
GPA: 3.98/4.0
- Relevant Coursework: Graduate Physical Cosmology, Graduate Nuclear and Particle Astrophysics
Research Experience
Theoretical Cosmology Group, Illinois Center of Advanced Studies of the Universe
Urbana, IL
- Analysed and reviewed literature on neutrino oscillations, neutrino degeneracy and its effect on cosmology
- Utilizing Cosmic Linear Anisotropy Solving System (CLASS) to simulate effects of neutrino chemical potentials and mass schemes on the CMB power spectrum
- Computed numerical derivatives of the CMB power spectra with various parameters
- Analysing various parameters of CLASS to find an equivalence between chemical potentials and effective number of relativistic species
- Performing cosmological perturbation theory calculations to probe the effects of neutrino chemical potentials on the matter power spectrum
- Constraining cosmological parameters using Planck, South Pole Telescope and the Atacama Cosmology Telescope likelihoods and BBN Likelihood from the Wagoner code using gaussian process regression
High Energy Phenomenology Group, Machine Learning Theory Research
Urbana, IL
- Implemented analytical solutions for sine and ReLU activations for the neural tangent kernel
- Computed the full batch gradient descent predictions and covariance of the predictions for the neural tangent kernel. Derived recursive relations for the predictions and the covariance as a function of epochs
- Implemented a numerical solution for the neural tangent kernel for various activation functions. Working in the 'frozen dataset' regime to find solutions in finite width neural networks
- Utilized TensorFlow and PyTorch to compare results of the neural tangent kernel to those of the finite width neural networks
- Worked on understanding scaling laws of the test loss as function of dataset sizes
- Analyzed physics examples that can demonstrate these scaling laws
CERN ATLAS Zero Degree Calorimeter Group
Urbana, IL
- Designed Winston cones for light guides to be used in the High Luminosity Large Hadron Collider (HL-LHC)
- Calibrated trigger setup and made measurements of cosmic muons which was implemented in the Test Run of 2023 before Run 3 at CERN
- Investigated the properties of jets in p-p collisions using PYTHIA and FASTJET to better understand parton distribution functions
Teaching
ENG 100: First-Year Engineering Orientation
Urbana, IL
ASTR 350: Big Bang, Black Holes and the End of the Universe
Urbana, IL
Outreach & Professional Development
LabEscape
Urbana, IL
- Designing puzzles for science-based escape room under guidance of Prof. Paul Kwiat, Professor in Quantum Information Science. Involved in science communication by showing physics demos at local events like local fairs etc. Managing escape room runs and explaining Quantum Information Science and Optics to participants
Guidance for Physics Students
- Organizing the theoretical minimum seminar series for undergraduates to cover graduate-level topics in Physics and Mathematics at an undergraduate level. Planning and organizing social and professional events for graduate and undergraduate students
- Gave a talk on Science and Funding Policy at the annual conference of GPS's parent organization, ACCESS
Society of Physics Students, UIUC Chapter
- Organized the "Saturday Physics for Everyone" program, showcasing cutting-edge research to diverse audiences and performing physics demonstrations to boost STEM awareness. Coordinated logistics and currently spearheading the organization of the Engineering Open House exhibit, the largest student-led exhibition in the country, where I manage logistics and develop innovative projects for science outreach, reinforcing our commitment to bridging the gap between academia and the community.
Presentations
Talks
- Fall 2024. The black box of the neural network. Undergraduate Physics Seminar, University of Illinois Urbana-Champaign
- Spring 2025. Searching for axion dark matter gegenschein of the Vela supernova remnant with FAST. High Energy Phenomenology Journal Club, UIUC
- Summer 2025. Science and Funding Policy. ACCESS Assembly 2025, University of Maryland - College Park
- Fall 2025. The Hitchhiker's Guide to Neutrino Cosmology. Undergraduate Physics Seminar, University of Illinois Urbana-Champaign
Specialized Skills
- Programming: Python, C++, Unix/Linux shell, HTML, GitHub. Specialized Python Libraries: NumPy, SciPy, Pandas, TensorFlow, PyTorch, scikit-learn, Qiskit, CLASS, CAMB. Specialized C++ packages: PYTHIA
- Lab Work: CAD, Calibration, Prototyping, Data collection, Robotics, Simulation work
- Other Skills: LaTeX, IBM Quantum Composer
Relevant Projects
ASTR 507: Physical Cosmology Final Project
- Ran Boltzmann code simulations using CAMB to simulate the universe for the LambdaCDM model
- Simulated the cosmic web using Zel'dovich approximation using numerical simulations
- Produced velocity sections and density profiles for universe at various redshifts