ACS Spring 2023 Meeting
Presented a poster and oral presentation in Indianapolis
BPS 2023 Meeting
Presented a poster in San Diego
Systematic Comparison of Experimental Crystallographic Geometries and Gas-Phase Computed Conformers for Torsion Preferences
Quantum Torsion Preference paper now on ChemRxiv
Starting Postdoc!
Postdoc in the Koes Group
Sucessfully Defended my PhD!
Evaluating and Improving the Viability of Machine Learning to Solve Chemical Problems
Evaluation of Thermochemical Machine Learning for Potential Energy Curves and Geometry Optimization
Machine Learning Evaluation published in J. Chem. Phys. A
Evaluation of Thermochemical Machine Learning Methods
PQI Quantum 2020 Poster Submission
Evaluation of Thermochemical Machine Learning for Potential Energy Curves and Geometry Optimization
Machine Learning Evaluation preprint now on ChemRxiv
Assessing Conformer Energies using Electronic Structure and Machine Learning Methods
Conformer benchmark published in IJQC
Baseball Batting Hall of Fame Predictor
Machine Learning model trained on offensive statistics in order to predict upcoming Hall of Fame players
Vermont COVID-19 Analysis
Data analysis of how Vermont is being affected the COVID-19 pandemic
Assessing Conformer Energies: Machine Learning vs Conventional Quantum Chemistry
Spring 2020 ACS COMP Poster Submission
Assessing Conformer Energies using Electronic Structure and Machine Learning Methods
Conformer benchmark now on ChemRxiv
chemreps v0.1.0 Beta Release
chemreps is now in beta!