Current projects:

• Privacy-preserving Detection of Violence in Cameras Writing a privacy product specification for a privacy-preserving neural network for video analysis as part of my capstone for the OpenMined course, “Our Privacy Opportunity.” Privacy-Preserving Violence Detector

• Kaggle Birdcall Identification using novel data augmentation. Let me know if you want to join my team!

• Mean Shift Analysis of the Uniform Crime Reporting data published by the FBI. I use TensorFlow 2.0 to do the analysis and bokeh to create the map.
  • UCRanalysis.ipnyb
  • UCRanalysis.html
  • crime_us_map.html

• Better Bin Packing Through Matrix Multiplication Using matrix multiplication to speed up a classic optimization problem

  Latest Version

Excerpt of Metamorphosis II, by Marc Chagall

Previous projects:

• Optimizing Sailor Health for NavalX’s Hack The Machine. Part of second place finish in Data Science Track. Wrote code for Challenge 3: Optimizing Sailor Health

• Pruned Neural Networks for Melanoma Detection Competing in Kaggle’s Melanoma Detection Competition through application of the Lottery Ticket Hypothesis for neural network pruning. Secondary goal of building more explainable artificial intelligence. Repo here

• Quantum Computing for Network Analysis A proof-of-concept for identifying likely asymptomatic CoVID-19 carriers through network analysis by applying simulated quantum computing with qiskit. Entry into Qiskit Community Summer Jam 2020 https://qiskit-community-summer-jam-new-england.hackerearth.com/

  Final Presentation

End of Metamorphosis II, by Marc Chagall

Future plans:

• AI4EO Air Quality and Health Challenge

• Recursively defined sparse matrices A new way to build, add, and multiply sparse matrixes for graph neural networks and pruning