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Patrick Mullen has extensive work experience in the field of technology and engineering. Patrick is currently working at Quantifind as a Platform Engineer. In this role, they utilize their knowledge of data science technology to uncover signals of risk from unstructured text sources. Patrick specializes in financial crimes risk management, combining internal financial institution data with public domain data to assess risk in various compliance processes.

Before joining Quantifind, Patrick worked at Two Six Technologies as a Lead Software Engineer, Machine Learning from 2019 to 2021. Prior to that, they were a Machine Learning Engineer at MITRE from 2017 to 2019. Patrick's expertise in machine learning was further enhanced during their tenure at General Dynamics Mission Systems as a Senior Software Engineer from 2014 to 2017.

Additionally, Patrick has experience as an Independent Researcher at the University of Mary Washington. During their time there in 2013, they conducted research on saturated absorption spectroscopy of rubidium-87, which led him to receive first place at the summer symposium.

Overall, Patrick Mullen's work experience demonstrates their proficiency in technology, data science, machine learning, and research.

Patrick Mullen completed their education with a Master's Degree in Data Analytics Engineering, specializing in Data Mining, from George Mason University, which they pursued from 2015 to 2017. Prior to that, they obtained a Bachelor's Degree in Computer Science and another Bachelor's Degree in Physics from the University of Mary Washington, where they studied from 2010 to 2014.