Who We Are

UNU research experts and personnel

UNU Headquarters Japan
Showing 341-350 of 629 results

Expert Research Fellow

Frank Mattheis

Frank Mattheis is a Research Fellow at UNU-CRIS since August 2021.

Expert Policy Fellow, Environmental Law and Justice

Tariro Mbiba

Tariro Mbiba is a legal and policy professional with expertise in environmental law and justice, human rights, and sustainable development.  

Expert Research Fellow, Artificial Intelligence and Applied Statistics

Dr. Rendani Mbuvha

Dr. Rendani Mbuvha is an actuary and machine learning expert, specializing in the application of machine learning to improve our understanding of climate-related risks.

Expert Research Lead

David McCoy

David McCoy is a public health specialist and professor of global public health who works in the fields of health systems policy and development; global health governance and international health policy; and the political and economic determinants of health.  Much of his recent research has consisted of multidisciplinary and multi-sectoral case studies. 

Expert Data Developer

Bruce McDougall

Bruce McDougall is a data developer at UNU-WIDER, where he helps facilitate the National Treasury’s secure data facility.

Expert Chief Operations Officer

Christina McElwaine

Christina McElwaine is Chief Operations Officer at the United Nations University Centre for Policy Research. 

Staff Senior Finance Assistant

Mário Meira

Mário Meira has been at UNU-EGOV since August 2014.

Staff Communications Associate

Avelino Jr. Mejia

Avelino Jr. Mejia is a Communications Associate for the Innovation and Education (IVE) programme at UNU-IAS. 

Expert Researcher

Dr. Ortrun Merkle

Dr. Ortrun Merkle is a researcher at UNU-Merit and Maastricht University. Her research focuses on the nexus of corruption and gender and corruption and migration.

Expert Lead, Ecological Modeling and Food Security

Dr. Mohsen Mesgaran

As an agroecologist and modeler, Dr. Mohsen Mesgaran works at the interface of agriculture, ecology, and technology, employing quantitative approaches that utilize a variety of modeling techniques, including statistical/mathematical models, physiological (crop growth) models, and machine learning (AI).