Philipp Schiele

LMU Munich. CVXPY. Scalable Capital.



Room A 152

Ludwigstr. 33/I

80539 München


Welcome to my website! I am a PhD student at the Chair of Statistics and Econometrics at LMU Munich, supervised by Prof. Stefan Mittnik. My research focuses on portfolio optimization and financial econometrics more broadly, including time series analysis, machine learning, and risk modeling. Previously, I visited Prof. Stephen Boyd at Stanford University, where I worked on software for convex optimization, with a focus on financial applications. Closely related, I am a passionate contributor and maintainer of CVXPY, an open-source Python package for convex optimization. I lead the quant team at Scalable Capital, where we work on the portfolio optimization engine, as well as other machine learning and engineering topics. As you might have guessed by now, I am enthusiastic about finance, optimization, and technology.


Aug 1, 2023 Now leading the quant team at Scalable Capital, continuing on our mission to empower everyone to become an investor.
Jun 27, 2023 We released CVXPY 1.3.2, containing a number of bug fixes and improvements.
Mar 19, 2023 We released CVXPY 1.3.1. Among other things, you can now install CVXPY on Linux ARM based systems.
Jan 30, 2023 I am now a CVXPY maintainer! 🎉
Jan 28, 2023 We published a preprint of our paper on Disciplined Saddle Programming (DSP). The package is available on GitHub.

selected publications