CV - Melanie Maria Maier

Research Experience

PhD Student | Aug 2026 – Aug 2029

Research Assistant | Nov 2025 – Jul 2026

Optimized classical ML and deep learning algorithms for PVC detection in long-term ECG recordings to support clinical translation of Master’s thesis work (scientific manuscript under review for MICCAI).
Explored scalable long-sequence Transformer designs for 24-hour ECG data, addressing context length, memory constraints, and long-range dependency modeling.

Collaborative Research Project | Aug 2025 – Jan 2026

Generated counterfactual and unseen test scenarios in the JAXAtari framework to train and evaluate a vision-language model assisted reinforcement learning agent (manuscript under review for NeurIPS).

Research Project Data Science in Earth Observation | Oct 2024 – Mar 2025

Adapted an Elucidated Diffusion Model (EDM) implementation for sea surface temperature image downscaling using satellite imagery.

Student Research Assistant Biosignalanalysis | May 2022 – Jul 2024

Supported discovery of novel medical correlations in large-scale studies (KORA, NAKO), e.g., between diabetes and respiratory rate.
Presented a novel wavelet-transform based ML-algorithm for PVC detection with >99.2% accuracy on 1M+ heartbeat samples (NAKO).

Data Science for Robot Operations Intern | Apr 2025 – Sep 2025

Improved post-commissioning workflows and accelerated performance monitoring by implementing a scalable metrics service using gRPC for KPI computation.

Data Science Working Student | Oct 2024 – Mar 2025

Improved detection metrics by up to 5% F1 score through a line detection algorithm based on bounding box rotation of words.
Supported NLP model development (NER with LSTM/xLSTM, TensorFlow) and experimented with efficient LLMs.

Software Engineering, Mission Analysis Intern | Aug 2024 – Sep 2024

Developed Python software to visualize rocket trajectories and ground station visibility.
Improved trajectory optimization using a supervised learning initial guess creator.

IT-Consulting Cybersecurity Intern | Aug 2021 – Sep 2021

Strengthened client cyber resilience by conducting ITGC testing on backup and recovery processes.

Private Project | Dec 2025 – Present

Developing a cloud-based collaboration platform for equine care teams (owners, veterinarians, therapists) with secure document sharing.

TUM.ai E-Lab 4.0 | Oct 2025 – Dec 2025

Building an MS Teams bot for auto-creating documentation from meetings using a RAG pipeline.
Helped onboard the first pilot customer.

PoseQuest | Feb 2025 – Sep 2025

Developed a posture analysis tool for equestrian sports based on keypoint detection and personalized language feedback (www.posequest.com).

M. Sc. Mathematics in Data Science | Apr 2023 – Oct 2025

Focus: Machine Learning and Statistics
Thesis: “A Systematic Evaluation of RRI and Morphological Wavelet Features for PVC Detection in ECG Signals Using Machine Learning”