Isaac Thompson, Ph.D., was recently appointed Principal Data Scientist at Shaker as part of our ongoing commitment to revolutionizing assessments through the application of artificial intelligence and machine learning to selection science.
“We are thrilled to welcome one of the field’s preeminent data scientists to our team,” said Eric Sydell, Vice President, Research and Innovation. “Not only is Isaac a pioneering machine learning researcher, but he is also an experienced industrial-organizational psychologist, giving him a unique set of cross-functional abilities. We are excited to add Isaac’s machine learning perspective to our advanced research work and product set.”
Thompson’s interest in analytics started at a young age, working for his father’s trade data startup. He holds a Ph.D. in industrial-organizational (I-O) psychology from North Carolina State University, plus master’s and bachelor’s degrees from the University of Tennessee at Chattanooga. His areas of passion and research include measurement, machine learning, deep learning, big data, Bayesian statistics, and open source.
Throughout his studies, Thompson held many positions, most recently working as a data scientist and organizational researcher. In his role at Shaker, Thompson will help the company discover new assessment and evaluation methods.
“I am honored and humbled to join Shaker,” Thompson said. “The company’s leading-edge technology offers the perfect platform to push the boundaries of what is possible in employee selection. Partnering with a large crew of brilliant Ph.D. I-O psychologists and visionary leadership, together we are shaping the future of employee assessment.”