Sophie Chang Named VP of Engineering at Prelert

Prelert, an anomaly detection company, has hired Sophie Chang as Vice President of Engineering to lead its U.K.-based engineering team.

In this role, Chang will be responsible for product development and managing all aspects of the team’s activities, helping to enhance Prelert’s machine learning-based anomaly detection engine.

“Our London office, where all our research and development takes place, is comprised of an accomplished group of individuals that have used their advanced degrees and vast experience in their respective fields to produce industry-leading technology,” said Mark Jaffe, Prelert’s CEO in a press release. “With her background, Sophie is a perfect fit to guide their future direction.”

Chang brings more than ten years of senior executive experience to her new role, most notably through her time as VP Software at 1E, a fast-growing and successful B2B IT efficiency software company. She was responsible for growing its technology team from two people to more than 120 and managing the full product life-cycle of multiple enterprise software solutions, with more than 20 million licenses deployed on PCs in blue-chip companies across the globe.

“We’ve really only scratched the surface in using machine learning to extract value out of big data,” said Chang. “Traditionally, only a team of data scientists could identify the opportunities and threats hidden in massive data sets. Helping Prelert bring these capabilities to business users around the globe will be extremely rewarding.”

In her role as VP of Engineering, Chang will report directly to Prelert’s CTO and co-founder, Steve Dodson, Ph.D.

Chang holds a Physics BSc from Imperial College, London.

Prelert is an anomaly detection company, with its US location located on Speen Street in Framingham. Its automated behavioral analytics make it easy for users and developers to uncover real-time insights into the operational opportunities and risks hidden in massive data sets. By using unsupervised machine learning technology, Prelert enables non-data scientists to go beyond the limits of search to quickly derive value from their organization’s data.