Experience

Catalytic Data Science

• Biotechnology Research
• 1 - 100 Employee

• Software Engineer

  • Nov 2018 - Present

  We are a team of life scientists and software engineers who believe the brightest minds in science should have access to the best tools that are key to driving innovation. The Catalytic Platform is a new kind of R&D cloud built specifically for how life scientists work. By providing researchers with the best digital tools and networking them with colleagues, we're empowering R&D teams to generate novel insights, compress the time and money required to achieve key R&D milestones and produce knowledge that can be monetized to drive business forward. Show less



LS3P ASSOCIATES LTD.

• United States
• Architecture and Planning
• 300 - 400 Employee

• Data Scientist I

  • May 2016 - Nov 2018



College of Charleston

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • May 2015 - Aug 2015

  I researched natural language processing techniques. More specifically, I joined a team of researchers from MUSC and CofC working together on phenotype classification of SLE using doctors chart notes. I worked independently to find a more acurate technique for classifying relatively small batches of words, experimenting with Word2Vec as a sentiment analysis tool. I did experiments on a dataset of 2000 IMBD movie reviews, using a random forest to classify reviews as either positive or negative. The end goal of my research was to apply the same technique used to classify the movie reviews to classify a patient as having SLE or not. The contributions I made are part of a paper that is currently undergoing a peer review process. Show less



Anderson Data Science Research Lab

• Charleston, South Carolina

• Undergraduate Research Assistant with Anderson Data Science Research Lab

  • Jan 2015 - May 2015

  Studied restricted Boltzmann machines and deep belief networks eventually utilizing a deep belief network, a deep learning artificial neural network constructed by stacking restricted Boltzmann machines, to classify over 30,000 images of galaxies into three categories. Awarded the Award of Merritt at the College of Charleston School of Science and Mathematics Research Poster Session and Computer Science Department poster winner. Studied restricted Boltzmann machines and deep belief networks eventually utilizing a deep belief network, a deep learning artificial neural network constructed by stacking restricted Boltzmann machines, to classify over 30,000 images of galaxies into three categories. Awarded the Award of Merritt at the College of Charleston School of Science and Mathematics Research Poster Session and Computer Science Department poster winner.



College of Charleston

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research with Charleston Computational Genomics Group

  • May 2014 - Aug 2014

  Collaborated with the Medical University of South Carolina developing novel algorithms for data mining focusing on algorithms for large heterogeneous biological datasets. Designed and coded a multi-objective genetic algorithm in MATLAB using data from real patients and combining data sets of 6,000+ differential gene expressions and 18,000+ alternative splicing events to identify a subset of ~40 casual genes for non small cell lung carcinoma Collaborated with the Medical University of South Carolina developing novel algorithms for data mining focusing on algorithms for large heterogeneous biological datasets. Designed and coded a multi-objective genetic algorithm in MATLAB using data from real patients and combining data sets of 6,000+ differential gene expressions and 18,000+ alternative splicing events to identify a subset of ~40 casual genes for non small cell lung carcinoma



Wabtec Corporation

• Project Management Intern

  • May 2013 - Aug 2013

  Worked in Microsoft SharePoint 2010 and Excel 2010 creating project dashboards and centralizing project data to allow the project management team to better manage over 50 different projects • Gained real world workplace experience Worked in Microsoft SharePoint 2010 and Excel 2010 creating project dashboards and centralizing project data to allow the project management team to better manage over 50 different projects • Gained real world workplace experience