A pioneer at the intersection of cosmology, statistics, and artificial intelligence, Benjamin Wandelt is driven by a deep curiosity about the origins and structure of the universe and a passion for developing the computational tools needed to unlock its secrets. Wandelt studies the fundamental physics of the universe using a combination of astronomical observations, large-scale data analysis, and novel computational techniques. His research in theoretical, computational, and statistical astrophysics connects fundamental physics and cosmology with astronomical data across all scales, ranging from stars to the largest structures in the observable universe. Wandelt has contributed significantly to our understanding of the universe’s structure and evolution through sophisticated data analysis techniques. 

A leader in cosmological data science, Wandelt has played a key role in international collaborations such as the Planck satellite mission, where he co-led analyses probing the earliest imprints of structure in the universe. He is known for his work on the cosmic microwave background, large-scale structure of the universe, cosmic voids, and cosmological data analysis methods. By combining theoretical models with sophisticated inference methods, Wandelt seeks to answer fundamental questions about cosmic origins, dark matter, and dark energy.  His current focus is on developing new AI approaches to extract information from large datasets.  

Wandelt joined Johns Hopkins University in 2026 from the Institut d’Astrophysique de Paris, Sorbonne Université.