Nicholas Griffin, PhD
About Nicholas Griffin, PhD
Nicholas Griffin, PhD, is a Data Scientist III at SparkCognition, where he has worked since 2021. He has a diverse background in psychology and data science, with previous roles at Lirio and the University of Texas at Austin, among others.
Current Role at SparkCognition
Nicholas Griffin serves as a Data Scientist III at SparkCognition, a position he has held since 2021. In this role, he co-developed machine learning algorithms for the company's DeepArmor product. He engineered a comprehensive set of over 30 data features aimed at predicting the likelihood of computational processes being benign or malicious. His work includes successfully iterating new models from design to production quality within a six-month timeframe, demonstrating his ability to deliver effective solutions in a timely manner.
Previous Experience at Lirio
Before joining SparkCognition, Nicholas Griffin worked at Lirio as a Behavioral Data Scientist from 2020 to 2021. His role involved analyzing behavioral data to inform decision-making processes. This experience contributed to his expertise in data science and behavioral analysis, enhancing his skill set in predictive modeling and data interpretation.
Academic Background and Research
Nicholas Griffin pursued his academic studies at The University of Texas at Austin, where he earned both a Master of Arts and a Doctor of Philosophy in Psychology, specializing in cognitive science. His research experience includes serving as a Graduate Research Assistant on projects such as the TRACK-TBI Brain Injury Research and the Genomic/Cognitive Vulnerability to Depression. He also worked as a Graduate Teaching Assistant and Social Science/Humanities Research Professional during his time at the university.
Experience at Michigan State University
Nicholas Griffin's early career includes various roles at Michigan State University. He served as a Teaching Assistant for the Adolescent Diversion Project and worked as a Lab Manager and Research Assistant in the Sleep and Learning Lab. His involvement in these positions provided him with foundational skills in research methodologies and data analysis, contributing to his overall expertise in psychology and data science.
Technical Skills and Contributions
Nicholas Griffin has demonstrated technical proficiency in programming and data science. He authored seven Python and C# scripts to optimize hyperparameters for models, which enhanced malware prediction capabilities. His ability to develop machine learning algorithms and manage data-driven projects showcases his contributions to the field of data science and his commitment to advancing predictive analytics.