CV

Education

PhD Program (Laumann Group), Boston University Boston, MA August 2019 – Present
- Research includes Highly Frustrated Magnets, Randomized Measurement Protocols, Gauge Theories on a Lattice
- Used Quantum Annealer to study quantum dimer models and compare to custom Quantum Monte Carlo implementation.
Google LLC, Mountain View, CA August 2017 – August 2019
- Employed as Software Engineer in the Search Quality Department developing Machine Learning models for NLP.
- Work included large-scale data analysis and writing high performance code for serving queries.
Laboratory for Elementary Particle Physics (Rubin Group), Cornell University, Ithaca, NY December 2013 - May 2017
- Developed Python and Fortran libraries to simulate and analyze electron cloud dynamics for Cornell’s particle accelerator.
- Operated accelerator and logged data for related experiments.
UCSF Laboratory Internship (Blackburn Group), San Francisco, CA April 2011 - 2013
- Data analysis genetic data for research on telomere regenerative processes and correlating health and lifespan in yeast.
- Programmed a robotic DNA sequencer for telomere analysis for a prospective study on patient health for a large HMO.

Programming Languages
- Proficient in Rust (5yrs), Python (17yrs), C++ (10yrs), Java (10yrs)
- Familiar with: Julia, Fortran, Haskell, OCaml, Kotlin, Matlab, Swift
GPU Programming
- WGPU and CUDA
- Monte carlo sampling
Machine Learning
- Naural Language Processing (More RNNs than LLMs)
- Unsupervised learning
Large projects
- Quantum Monte Carlo SSE library for small-field qubit models.
- Wrote a custom compiler for an object oriented language from scratch
- Designed a quantum circuit simulation library in Rust

Sumner N. Hearth, Michael O. Flynn, Anushya Chandran, and Chris R. Laumann Phys. Rev. Lett. 133, 060802

Sumner N. Hearth, Michael O. Flynn, Anushya Chandran, and Chris R. Laumann arXiv:2306.01035

Sumner N. Hearth, Siddhardh C. Morampudi, and Chris R. Laumann Phys. Rev. B 105, 195101