Team and organization

Male, as she goes by, is originally from Argentina and has lived and worked in multiple countries, focusing on social change and inclusive development. In her work, Male prioritizes collaboration, innovation, and sustainable impact, aligning seamlessly with ABW’s mission. Her experience spans organizational growth, team leadership, and partnerships. She is a result-driven professional with strong analytical and strategic skills. Male is the Director of Impact and Strategic Operations, focusing on accelerating and scaling ABW’s impact and driving our mission.

Parvathy Krishnan is the Chief Technology Officer at ABW and focuses on impact projects, technology strategy, and the open-source data products’ repository.

Dick den Hertog is Science to Impact Director at ABW, focusing on the academic journal, meet-ups, research projects and the academy.

Robert Monné is Managing Director of ABW and focuses on strategy, partnership building and developing the institute.

Dimitris Bertsimas is Science to Impact Director at ABW, focusing on the academic journal, meet-ups, research projects and the academy.

Britt van Veggel is a PhD student at the University of Amsterdam. Her research focusses on advanced analytics to contribute to the Sustainable Development Goals

Joaquim Gromicho is Professor of Business Analytics at the University of Amsterdam. At ABW, he contributes to research projects as a PhD/MSc supervisor, serves as a lecturer in the ABW Academy, and supports advanced analytics initiatives as Lead Optimization Architect, specializing in prescriptive analytics using large-scale data-driven mathematical optimization models.

With an MSc in Communication Science with an emphasis on health and sustainability and an MSc Sociology, Irina (academically) trained to care for as many people as possible. As the Events and Outreach Manager, they aim to shape a transdisciplinary community around analytics to amplify the possibility of a softer life with better care for everyone.

Jean is an Assistant Professor of Business Analytics at London Business School. In his research, he develops methods for large-scale optimization, optimization under uncertainty and machine learning, and applies them to hospital management and sustainable operations.

Baizhi is a PhD student in Management Science and Operations at London Business School. His research interests involve data-driven decision-making, optimization under uncertainty and other topics from the intersection of machine learning and optimization.

Associate Professor at the Department of Operations Management, at the University of Amsterdam. He has completed his PhD from the University of Twente in the area of Coordination in Software Development. He holds a master’s degree in Computer Science from the Indian Institute of Science, Bangalore. In the past, he has worked for three years as a software engineer. His research interests are in the area of business intelligence (using machine learning), open-source development (through mining software repositories), and applying analytics in projects that focus on the UN’s sustainable development goals.

Assistant Professor of Statistics in the Business Analytics Section of the University of Amsterdam. As a statistician and data scientist, my research interests lie in developing efficient computational methods for inference and learning from high-dimensional multivariate data in econometrics, machine learning, neuroscience, and health care. My current research is focused on developing Bayesian statistical methods in graphical models for multivariate statistical analysis to understand the underlying mechanisms in complex systems. These methods have many applications, such as health care to capture brain connectivity to treat Alzheimer's.

Justin Starreveld is a PhD student at the University of Amsterdam. His research looks at the optimization of investment decision regarding the production, storage and transportation of hydrogen in the Netherlands. The goal of this research project is to ensure that the investment strategy is robust to uncertainty regarding future developments in technology, economics, policymaking, etc.

Zihang Qiu is a PhD candidate at the University of Amsterdam. His research focuses on online adaptive treatment planning for proton radiotherapy.

Mayukh Ghosh is a PhD Candidate at the Business Analytics Section of the Amsterdam Business School, University of Amsterdam. His research interest lies in combining machine learning and optimization with applications for humanitarian analytics, logistics and supply chain management