education
Northeastern University, Boston MA
Master of Science, Computer Science (Virtual, Part-Time)
2019 - Present
- Developed an LSTM regression/forecasting models using Python for price prediction to push accuracy up to 95% relative to other models.
- Implemented deep generative models for molecule property prediction using Python, specifically targeting the prediction of solubility and potency properties.
- API & database development using NodeJS, Java, MySQL & MongoDB.
- Development of Java platforms for data management and processing
- Web Application development using React and Angular (JS & TS)
- Algorithm development and optimization using the C/C++ languages
Villanova University, Philadelphia PA
Master of Science, Computational Chemistry
August 2015 - May 2017
- Developed a wide range of ML models and MD simulations to predict chemical properties using Python, Keras, and RDKIT.
- Analysis of Quaternary Ammonium Compounds using CHARMM and OPLS.
- Development of an MD simulation models for potency prediction using Python/JS
- Ligand clustering and classification using supervised machine learning.
- Structure prediction via deep learning applications using Python.
- QSAR analysis using graph theory and machine learning.
- Database development and management using MySQL and SQLite3.
Emmanuel College, Boston MA
Bachelor of Science, Computational Chemistry
September 2011 - May 2015
- Utilization of CHARMM and OPLS force fields of protein simulation development.
- Implementation of Schrodinger and MOE for the analysis of proteins
- Clustering analysis of ligands using supervised machine learning.
- Development of Python2 and Python3 scripts for automated MD analysis.
- Analysis of inks, pigments, and resins using LCMS and CEM MARS6
