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Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Pair Extraordinaire

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Pair Extraordinaire

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umbertomazzucchelli/README.md

Umberto Mazzucchelli

CS PhD student at Northeastern University · mHealth Research Group · Intille Lab

I work on deep learning for human activity recognition, wearable sensor data processing, and privacy in mHealth systems.

LinkedIn · Email

Research Interests

  • Human activity recognition from wearable accelerometer data
  • Privacy and re-identification risks in mHealth datasets
  • LLM-based automated annotation pipelines
  • Physiological signal processing and time-series deep learning

Skills

Languages: Python · C · Bash

ML / DL: PyTorch · scikit-learn · GGIR · CNNs · LSTMs/GRUs

Data: NHANES · ActiGraph · pandas · NumPy

Infra: SLURM · HPC clusters · Globus · conda / uv · Git · Linux

LLMs: HuggingFace Transformers · Gemini API · Anthropic API

Pinned Loading

  1. cs7150-project cs7150-project Public

    Python

  2. dataviz-project dataviz-project Public

    Roff

  3. mHealth-Research-Group/paaws-study mHealth-Research-Group/paaws-study Public

    A central hub for everything related to the the Physical Activity Assessment Using Wearable Sensors (PAAWS) dataset.

    Python 4

  4. mHealth-Research-Group/audio-processing mHealth-Research-Group/audio-processing Public

    Python

  5. mHealth-Research-Group/paaws-annotation-software mHealth-Research-Group/paaws-annotation-software Public

    A PyQt6-based video annotation tool for temporal labeling of video content, designed for physical activity and posture analysis with hierarchical category selection and smart label validation.

    Python