Published
Predicting the Instance of Breast Cancer within Patients using a Convolutional Neural Network
Hybrid Quantum-Classical Generative Adversarial Network for Synthesizing Chemically Feasible Molecules
Relating socioeconomic position (SEP) and vaccination with Covid-19 rates in Select Populations.
Implementing Machine Learning Algorithms on Criminal Databases to Develop a Criminal Activity Index
Modelling Hartree-Fock approximations of the Schrödinger Equation for multielectron atoms from He-Xe
Using incidents of forest fires, meteorological data to predict and reduce the spread of California wildfires
Using image classification on Google Street View Images of college campuses to predict college retention rates
A Meta-Analysis on NIST Post-Quantum Cryptographic Primitive Finalists
In Review
The Impact of the Number of Carbons and Total Atoms on the Hartree-Fock Energy and Program Runtime of Alkanes
Jet Optimization Using a Hybrid Multivariate Regression Model and Statistical Methods in Dimuon Collisions
Hybrid Quantum-Classical Graph Generative Adversarial Network for Synthesizing Chemically Feasible Molecules
Using Random Walks and Long-Short Term Memory Cells to Improve QNetGAN Molecular Synthesis