Hi I’m Nico Palm. I am a mathematician and currently pursuing my PhD at the Munich Center for Machine learning (LMU) under the supervision of Thomas Nagler. Before that I worked for a couple of startups in the broad field of data analysis and machine learning. I specialize in the intersection of machine learning and statistics/mathematics: I develop statistical/mathematical methods that meet the requirements of modern data science, explore and prove their theoretical properties and package them in user-friendly software.
Projects
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Build and use problem-tailored multi-objective optimization algorithms.
Benchmark your Python functions in a few lines of code.
Optimize your experiments with the pi-design.
Publications
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(2023).
Multi-Objective Optimization Algorithm Classification by Composing Black Box with Pareto-Reflecting Functions.
(Preprint).
(2023).
An Online Bootstrap for Time Series.
AIStats24 (Accepted).
(2022).
Parameter Individual Optimal Experimental Design and Calibration of Parametric Models.
IEEE Access.
(2022).
Gaussian Process Regression Based Multi-Objective Bayesian Optimization for Power System Design.
Sustainability.
Contact
Contact me!
- n.palm@lmu.de
- Akademiestraße 7, München, 80799