News | May 8, 2026
A recent study by Tatyana Avilova, Economist at Secretariat has been selected by the Editor of JAMA Health Forum as an Editor’s Choice: Clinical Trial of 2025.
Mr. Chan has more than 13 years of professional experience in the construction industry, specializing in Critical Path Method scheduling, construction delay and disruption analyses, loss of productivity, extension of time claims, and dispute resolution in both international and domestic arbitrations.
Mr. Chan has more than 13 years of professional experience in the construction industry, specializing in Critical Path Method scheduling, construction delay and disruption analyses, loss of productivity, claims, and dispute resolution in both international and domestic arbitrations. He has experience collaborating with clients, legal teams, and fact witnesses throughout the arbitration process. Mr. Chan has provided litigation support for complex construction projects worldwide including those related to infrastructure, oil and gas, retail and hospitality, power and energy, and transportation.
Before joining Secretariat as a consultant, Mr. Chan was previously employed as a field engineer and construction manager on two nuclear construction projects in the United States. His hands-on experience in construction management and project controls aids his current role in providing clients with expert services related to construction delay and disruption.
A recent study by Tatyana Avilova, Economist at Secretariat has been selected by the Editor of JAMA Health Forum as an Editor’s Choice: Clinical Trial of 2025.
Secretariat Experts Recognized in Lexology’s 2026 Investigations Report
Ten of Secretariat experts have been recognized in the Lexology Index 2026 Investigations report, produced in partnership with Global Investigations Review. The guide highlights leading investigations lawyers, digital forensic specialists, and forensic accountants who are trusted to support the most demanding matters worldwide.
AI is rapidly reshaping how financial institutions in Latin America approach compliance, shifting from reactive monitoring to proactive financial crime detection. Advanced AI platforms specialized in crime detection enable banks to process vast datasets, identify anomalous behaviors, and map hidden relationships across accounts and jurisdictions. This is particularly relevant in a region characterized by complex cross-border flows, uneven regulatory enforcement, and significant exposure to illicit economies.