Wladimir Nikoluk is an expert, entrepreneur and speaker on impact measurement and management as well as data science in the social sector. He is the Founder and CEO of ImmerLearn, a social enterprise supporting nonprofit organizations, UN agencies, and impact investors to measure social impact, predict impact-critical events and better understand people’s needs through ethical data and machine learning systems. Projects include building an early-warning system for an education nonprofit that uses machine learning to predict which students are likely to drop out, so that they can get help in time and improve graduation rates or developing a data warehousing solution for a nutrition nonprofit, that seeks to make global data on children malnutrition useful to the practitioner community. ImmerLearn is currently working with Year Up, UNDP, Action Against Hunger and Volta Capital among others.

Wladimir regularly gives talks and workshops on how data science can be used to improve the effectiveness of social programs, including at the European Investment Bank, the Harvard Social Enterprise Conference, TEDxKassel and NASPA. He holds a Master's degree in Public Policy from the Harvard Kennedy School, where he was awarded the McCloy Fellowship of the German Government for academic and social achievements and the Adrian Cheng Fellowship for social innovation. Previously, he was a consultant at McKinsey & Company specializing in public sector, technology and strategy projects. Before that, he worked as a Resilience Intelligence Officer for the United Nations in Jordan, where he represented UNDP in negotiations with governments, NGOs and other UN agencies on the response plan for the Syria sub-region. He holds a Bachelor’s degree in Philosophy, Politics and Economics from the University of Oxford and is an evaluator for the German National Academic Foundation.