Skills
- Programming Languages:
- Python, R, SQL, MATLAB
- Analytics:
- broad experience across algorithm types, both supervised and unsupervised learning methods
- deep learning with TensorFlow, focus on computer vision
- enthusiastic-amateur-level geospatial analytics (geopandas, shapely, gdal, ESRI tools)
- clustering approaches like DBSCAN
- fraud/anomaly detection and methods for learning in imbalanced datasets
- decomposition and dimension reduction techniques like NMF or PCA
- natural language processing (NLP)
- data visualization with matplotlib, seaborn, Jupyter
- statistical analysis with Bayesian methods and inference
- correlation methods
- Communication:
- Experience customer-facing briefing at senior leadership level. Several platform presentations at very large international scientific conferences. Extensive experience with presentations to small/medium sized groups on technical scientific material.
- Writing in a wide variety of formats (technical documentation, academic journal article, government proposal technical volumes, thesis-scale academic volumes)
- Leadership:
- Lead diverse teams, providing management support and oversight.
- Mentor team members with a variety of backgrounds and experience levels in technical and non-technical growth goals.
- Manage logistics, operations, hiring for a portfolio within a rapidly growing consulting business.
Bio
October 2018 - Present Director and Senior Data Scientist @ Elder Research Inc
June 2017 - October 2018 Data Scientist @ Northrop Grumman Corporation
August 2013 - June 2017 Postdoc @ National Institutes of Health
August 2007 - August 2013 PhD in Biophysics @ Yale University
August 2003 - August 2007 BA in Biology @ McDaniel College