Andrea Walther

Andrea Walther is a Professor of Mathematical Optimization at the Humboldt University of Berlin, holding a position within the Faculty of Mathematics and Natural Sciences. She leads the Mathematical Optimization research group at the Institute of Mathematics, focusing on algorithmic differentiation, nonlinear optimization, and applied mathematics. Her academic journey includes a Diploma in Business Mathematics (1996, University of Bayreuth), a PhD (1999, TU Dresden), and habilitation (2008, TU Dresden). She has held roles such as Junior Professor at TU Dresden (2007–2008) and Professor at the University of Paderborn (2009–2019) before joining Humboldt in 2019 as a MATH+ Professor.

Education:

• 1991–1996: Studies in Business Mathematics, University of Bayreuth
• 1996: Diploma in Business Mathematics, University of Bayreuth
• 1999: PhD in Mathematics, TU Dresden
• 2008: Habilitation, TU Dresden

Her research interests center on optimization methods, particularly algorithmic differentiation (e.g., ADOL-C software), nonsmooth optimization, and applications in engineering and machine learning. She leads initiatives like the Cluster of Excellence MATH+ and contributes to projects such as the Transregio 154.

Key Projects:

• Co-PI of DFG Project 'Mixed-integer non-smooth optimization for gas market problems' (2020–2022)
• Principal Investigator in MATH+ Projects (EF3-7, AA2-7)
• Co-developer of ADOL-C, a widely used tool for algorithmic differentiation

Notable awards include being a SIAM Fellow. Her work bridges theoretical advancements and practical applications, with contributions to energy sector optimization, inverse problems, and computational frameworks for solving complex systems.