Ethan Decker

Experience

• 

  Penn State University

  May 2020 - Jan 2022

  -Managed multiple labs of 100-Mentored 200 students through basic concepts of digital design -Guided students through the design of a fuller adder -generated an analytical equation for quantifying the free energy transfer of hydrophobic molecules-leveraged python for a approximate free energy crossover quantification -developed graphing software through python to handle high data inputs -leveraged mongoDB and pymongo for a high volume data storage pipeline

  • Teaching Assistant

    Sept 2021 - Jan 2022

  • Student Researcher

    May 2020 - Sept 2021
• 

  Liberty Mutual Insurance

  Apr 2022 - Aug 2022

  Software Engineer

  Worked on the first ever online upload portal for consumer insurance documents at liberty mutual. -Improved first MVP design for iteration -chose a generator for the code base of the inherited MVP -upgraded all AWS dependencies to v2 -upgraded wrappers of CDK stacks to fit liberty mutuals internal network requirements -Assisted in the onboarding of two engineers by introducing them to various problem statements. -introduced new UI components for the first MVP-Modified old UI components of the code inherited Show less

• 

  Penn State University

  Apr 2022 - Apr 2023

  -made improvements to time complexity of codebase for the calculation of a jacobian concerning the ith layer <br>-made memory complexity improvements by using forward differentiation and batched processing on certain inputs and outputs of neural network. I then, using theses techniques split the jacobian matrix calculation into vector jacobian product calculations such that we avoided a memory blowup mid-calculation. <br>-calculated the theoretical lower bound of flops for jacobian calculation of ith layer with respect to input to see if there can be further optimizations. <br>-created a program that has any neural networks python file as an input and creates a computational graph of the primal operations as output <br>-coded a general flops calculator for any defined neural network that outputs flops used during inference with the input of the neural network code and input. <br>-Derived the flops count on all cifar library models.<br>- Derived all flops count equations for the backpropagation of any neural network<br>-encoded all forward and back propagation flops counting objects into the codebase via a computational graph generator<br>-During my derivation, I spotted an inefficiency in the PyTorch codebase <br>-Actively making contributions to PyTorch execution engine codebase (C++) (with my professor help who was an ex-researcher at meta) Show less I am researching ways to describe nearly decoherence-free quantum systems with my professor. <br><br>- verified theorem of decoherence-free subspaces in a quantum computer system <br>- performed asymptotic analysis on a composite quantum system to gather the analytical effect of quantum decoherence over time. <br>-perturbed a composite system hamiltonian to relax a theoretical condition of decoherence-free subspaces to gain a model for decoherence over an arbitrary time<br>- Derived the consequence of this relaxation by expanding the system as a function of epsilon and solving<br>-Traced out the environment to show our added impurity does remain in the system.<br>-Generated practical example systems to apply equations to<br>-Generalized theory to 2 dimensional subspace to be applicable in a quantum computer setting <br>- calculated the fidelity between our initial density matrix and our density matrix at a later point in time to analyze the decoherence effects on our system <br>- wrote an interpretation and verified this result<br>-expanding the system to a second order series of epsilon to gain insight into decoherence, first order is still decoherence free<br>-calculated the fidelity of the second-order expansion, which shows a loss of information proportional to time squared. <br>-expanding to N dimensions to represent an arbitrary-sized Hilbert space. Show less

  • Scientific Researcher

    Aug 2022 - Apr 2023

  • Scientific Researcher

    Apr 2022 - Jan 2023
• 

  The Applied Research Laboratory at Penn State University

  Jun 2023 - May 2024

  Research And Development Engineer

  Electrical Engineer in circuit/hardware design and embedded programming.