recent

Research Assistant
Beginning my new work in the Machine Learning group of the Fraunhofer HHI for XAI.
November 2020
Deep Learning Lane Detection with LiDAR and Camera
Predicting lanes with LiDAR and Camera data and localizing in a 2D HD map.
September 2020
FoodBook App
An interactive recipe database with the ReactJS framework.
April 2020

work

Deep Learning Lane Detection with LiDAR and Camera
Predicting lanes with LiDAR and Camera data and localizing in a 2D HD map.
September 2020
FoodBook App
An interactive recipe database with the ReactJS framework.
April 2020
Why is Electricity more expensive in northern Germany?
Analysis of the electricity market in Germany using a web-scraper and javascript.
March 2020

cv

education

Master of Science in Computational Science

University of Potsdam, Potsdam
Since 2020
Advanced studies of Computational Science with focus in Statistical Data Analysis and Artificial Intelligence.
University of Potsdam, Potsdam

Bachelor of Science in Physics

Humboldt-University, Berlin
2015 - 2019
Basic studies of Physics. Finished degree with grade 1,4 (excellent).
Humboldt-University, Berlin
Uppsala-University, Uppsala
Studies in Uppsala for one semester as a part of the Erasmus exchange programme.
Uppsala-University, Uppsala

work

Research Assistent

Fraunhofer HHI, Berlin
since November 2020
Machine Learning, Computer Vision
Research Assistant in the Machine Learning Group for Explainable AI (XAI).
Fraunhofer HHI, Berlin

Working Student

IAV, Berlin
June 2019 - November 2020
Tool development, Data Analytics
Tool development, modeling of car motion/behaviour, simulations to analyze safety borders for driving functions.
IAV, Berlin

Working Student, Bachelor Thesis

Baumer Hübner, Berlin
Nov. 2018 - June 2019
FEM-Simulation, Modeling, Data Analytics
General research in magnetic pole rings and magnetization processes. Planing and doing measurements and analyzing the data. Analyzing the magnetic behavior of magnetic pole rings with small diameters. Comparing an analytical model, a FEM simulation and experimental measurements.
Baumer Hübner, Berlin

Working Student

DESY, Zeuthen
July 2016 - September 2018
Teaching, Project Management
Supervising school classes that visit the vacuum lab of DESY in Zeuthen. Part of organization team for TeVPA 2018.
DESY, Zeuthen

skills

Programming

Python
Matlab
Java
Javascript
React/Gatsby
Html/css

Languages

German
English
French

contact

Hi, my name is Maximilian Dreyer!

I live in Berlin and study Computational Science in Potsdam. Analyzing and using data to create helpful and interesting results is what made me fall in love with data analytics and programming. Next to my work and studies in these areas, I like to dive deeper into web development.

Please feel free to contact me via max.dreyer@outlook.com or on LinkedIn.

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