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Jacob489/README.md

Jacob Nowack

Research & Publications

Co-author on NeurIPS 2024 Workshop paper: "Learning the Evolution of Physical Structure of Galaxies via Diffusion Models." Currently contributing to NSF-funded research in computational astrophysics at UCLA Astrophysics Data Lab.

Featured Projects

  • Galaxy Image Generation: Novel DDPM framework for generating realistic galaxy images from continuous redshift values
  • Galaxy Redshift Estimation: CNN architecture with MLflow experiment tracking for photometric redshift prediction
  • RAG PDF Analyzer: Intelligent document Q&A system using retrieval-augmented generation

Technical Skills

Python, PyTorch, TensorFlow, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Git, Linux

Education

BS Computer Science - Southern Oregon University (Expected 2026) AS Computer Science - Rogue Community College (2023)

Pinned Loading

  1. MLFlow-CNN MLFlow-CNN Public

    Galaxy Redshift Estimation Using Convolutional Neural Networks with MLflow Tracking

    Jupyter Notebook 1 1

  2. DDPM-generative-modeling DDPM-generative-modeling Public

    Jupyter Notebook

  3. rag-pdf-analyzer rag-pdf-analyzer Public

    RAG system for PDF document analysis with OpenAI integration

    Python 1