University of Colorado Boulder
Bachelor of Science, Engineering Physics (Minors in Applied Mathematics & Quantum Engineering)
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My name is Dylan Liu-Walter and I am a recently graduated Engineering Physics major with minors in Applied Math and Quantum Engineering from the University of Colorado Boulder. I graduated magna cum laude with a 3.92 major GPA and engineering honors. Throughout my college experience, I have been deeply involved in research at the intersection of physics and computational science, which has rigorously developed my physics and mathematical reasoning abilities. I believe this unique background makes me exceptionally suited to domain-expert AI training. In my sophomore year, I developed and implemented an unrolled neural network for image reconstruction in Diffuse Optical Tomography and generated training datasets by using a Monte Carlo simulation of the radiative transfer equation. In my junior year, I helped design and implement a Physics Informed Neural Network to discover the effective Kerr nonlinearity of an optical fiber based on the Nonlinear Schrödinger equation. In my senior year, I pivoted my research interests into neural quantum states, designing a novel, scalable architecture to numerically discover the wavefunction for superfluid He-4, which is one of the most challenging bosonic systems to simulate. Throughout these research experiences, I have gained in-depth exposure to machine learning, Python, and complex technical reasoning, allowing me to readily contribute high-level validation to the OpenTrain AI platform.
Bachelor of Science, Engineering Physics (Minors in Applied Mathematics & Quantum Engineering)
Researcher (Neural Quantum States)
Researcher (Physics Informed Neural Networks)