Lucia Seitz

Search, Analytics, BI

Convolutional Neural Networks, Image Similarity, Data Mining, Data Analysis. Developed a search engine over 86 million images from patent applications, with deep learning algorithms. Worked closely with data engineers to best utilize available database and computing resources. Presented reports and analytics regarding corpus classification and other metrics.

ML Foundations, Communication, Presentation, Evaluation. Aided in the development of curriculum content and materials for the foundational Machine Learning course of the TUM. Worked closely with Prof. van der Smagt to facilitate feedback between students and instructors, and develop homework and exam problems for over 300 students each semester.

Data analysis, Neuroscience, Modelling, Machine Learning. Analysed of neuroscientific data from Nobel prize winner Prof. Edvard Moser to verify the existence and location of grid cells in the Hippocampus and Entorhinal Cortex. Applied machine learning algorithms, including autoregressive hidden Markov models, to problems involving high dimensional data.

Titel: Choice-Identification Applying Hidden-Markov-Models to simultaneously recorded cells in the Primate Prefrontal Cortex

Werksstudent working with web technologies.