A forensic expert who testified in numerous high-profile American murder trials spent decades training China’s police alongside U.S. law enforcement officials at his federally-funded institutions in Connecticut, a Daily Caller News Foundation investigation discovered.
Dr. Henry C. Lee, who was born in China and became famous testifying as an expert defense witness in O.J. Simpson’s 1995 murder trial, served as Connecticut State Police commissioner and investigated dozens of notorious cases including the kidnapping of Elizabeth Smart and the murders of JonBenét Ramsey, Chandra Levy and Laci Peterson.
At least a decade before joining O.J.’s “dream team,” Lee also began sharing his expertise with “China’s FBI,” the Ministry of Public Security (MPS), and its local subordinate, the Public Security Bureau (PSB), with which he held numerous positions until his death at the age of 87 in March 2026, according to DCNF translations of Chinese government and state media reports.
Lee likewise held multiple positions in arms of a Chinese influence and intelligence agency called the United Front Work Department (UFWD), which arranged for Lee to be interviewed in 2019 about his work training Chinese state security personnel in both China and the U.S. at the University of New Haven (UNH), where he had served as a professor for over 50 years, according to DCNF translations of Chinese government and state media reports.
“Over the past 50 years, at least 1,000 teams and more than 10,000 [Chinese police] have received specialized professional training here in Connecticut at UNH,” Lee said, according to a DCNF translation of that 2019 interview. “I feel their academic drive, spirit of tireless research, and love for the cause, party and nation.”
“The allegations of UNH training students from the MPS must be thoroughly investigated and all American universities must do more to protect taxpayer-funded research from our adversaries,” Republican Rep. John Moolenaar, chairman of the House Select Committee on the CCP, told the DCNF.
Hellbound and Down 