Leo Neumann

Leo Neumann

Leo Neumann is a computer scientist and audiovisual artist. He started playing piano at the age of 6 and continues banging on things he encounters around him. His work investigates the connections between sound, light, science and technology. He also enjoys ⇾dancing.


Academia

B.Sc. Computer Science, Universität Hamburg

M.Sc. Evolutionary and Adaptive Systems, Sussex University

Ph.D. Natural Sciences, University of Heidelberg / DKFZ


Work

Ponton European Media Art Lab, multimedia development, sound design

ramjac Images, music production, sound design, programming

IAV GmbH, development of driver assistance systems

BMW Group, development of hard and software for automated driving


Music & Art

Learning, on Return To The Elements Vol. 1: A Journey Through Imaginary Landscapes (Compilation)

365 Farben Grau, in collaboration with Cora Franke, 12-18, Exhibition, Molotow, Hamburg

relisten:please!, in collaboration with Ole Lütjens for HotWired’s RGB Gallery

Songs to Sing&Dance, EP by Ville 9 (Leo Neumann and Jens C. Möller)

Interactive installation, Make Munich 2019

Tonlichteinheit 1, Science & Fiction Festival 2019, Deutsches Museum

Tonlichtmaschine, abstract physical music and light machine, ongoing work

Jazz Champion MK1, a jazz playing console game, 2020


Publications

L. Neumann (2003). Investigating Embryogenies for the Evolution of Architectural Floor Plans. M.Sc. Thesis, School of Cognitive and Computing Sciences, University of Sussex, UK

R. Eils and L. Neumann (2006). Systems Biology and Information Technology (editorial), it – Information Technology, Vol. 48, 3, 131–132

L. Neumann (2008). Modelling and Simulation of the CD95 Signalling Network. Doctoral Dissertation, Universität Heidelberg, 2008

L. Neumann, C. Pforr, J. Beaudouin, A. Pappa, N. Fricker, P.H. Krammer, I.N. Lavrik, and R. Eils (2010). Dynamics within the CD95 death-inducing signaling complex decide life and death of cells. Molecular Systems Biology, 6, 352

L. Neumann, B. Vanholme, M. Gressmann, A. Bachmann, L. Kählke, and F. Schüle (2015). Free Space Detection: a Corner Stone of Automated Driving. 18th International Conference on Intelligent Transportation Systems, IEEE