Zev J. Eigen is an internationally recognized expert in data science and predictive analytics as applied to HR, labor & employment law, and contracts. He was named one of “40 Under 40” Rising Legal Stars by the National Law Journal, and has significant experience applying artificial intelligence (“machine learning”) algorithms, econometrics and statistics to HR and legal strategic decision making.
In 2017, he was honored as one of the 10 most innovative lawyers in North America by the Financial Times. Zev was also named as FastCase 50 winner for his cutting-edge work in HR Tech and data science.
Zev is the Chief Science Officer and founder of Syndio Solutions. Syndio is an HR Tech company that improves outcomes for organizations, their employees, and society. The company’s mission is to help organizations rethink the relationship between their people and the bottom line with data-driven science.
Syndio aids compliance with pay equity laws through its Compensation Equity Plus (C/E+) web-based diagnostic tool. Businesses must comply with federal and state laws on equal pay for equal work to avoid expensive litigation and be an employer of choice. C/E+ can quickly and accurately identify pay gaps for protected classes (find the problem), recommend solutions (fix the problem), and monitor the impact of employee population changes (prevent future problems).
Dr. Eigen earned his Ph.D. from MIT’s Sloan School of Management. As a former professor, his research has been supported by grants from the National Science Foundation, Harvard Law School, MIT, and private sources such as Twentieth Century Fox Film Corporation. He holds a J.D. from Cornell Law School and a B.S. from Cornell University’s School of Industrial and Labor Relations (with honors).
Click HERE for a downloadable PDF of Zev’s curriculum vitae.
Zev was born in San Jose, Costa Rica, and grew up in SoHo in New York City. He has also lived in Ithaca, NY, San Francisco, San Diego, Los Angeles, Hawai’i, Boston, and Chicago.

CONTACT
Email: zeveigen [at] gmail [dot] [com].