Science Sundries

Science Sundries: (noun) various tools, strategies, and behaviors that enable teams to make decisions.

Chris Cotter

Senior Data Science Leader | Machine Learning, AI, and Data-Driven Strategy | Specializing in R&D, Predictive Modeling, and Data Solutions

My Philosophy


1) I am primarily driven by a interest to enable teams to make decisions using data.

The value of data will always be in the decisions that can be derived from it, databases, data access, visualization, and modeling are important tools in the process, but the end goal is always driving decisions.

2) I easily pivot between roles, technologies, data modalities, and domains to enable decision making.

Machine learning, exploratory analysis, statistical testing, data structures, harmonizing data, and identifying and deploying data access tools are all part of enabling teams to make better decisions.

3) I act as a partner in the process, not as service.

The goal isn’t building a tool or doing an analysis and handing it off, it is becoming a partner with each team to understand their needs, and see solutions and ideas that they may not have considered.

Career Interests

Data Collection • Model Creation and Fitting • Neural Networks • Unsupervised Learning • Statistical Analysis • Image Analysis

Personal Interests

Argentine Tango • West Coast Swing