About me
I'm a researcher by day and a dancer by night. I'm working and studying at Ontario Tech University, and my goal in life is to experience everything to its fullest and cross as many things off my bucket list as I can!
Interests
- Adversarial Machine Learning
- Fairness and Ethics in AI
- AI Alignment and Safety
Now
Writing a paper on Robustness of ML models...
Research & Publications
The impact of image size on bloodstain pattern analysis using machine learning
NEWForensic Science International • 2024
Unsupervised machine learning approach for the detection and interpretation of key features in drip patterns
Forensic Science International • 2025
The risk perception of nanotechnology: evidence from twitter
RSC advances • 2022
News
Updates & Wins
Jan 2025
Poster accepted at AAAI Workshop on Trustworthy AI
Sharing results on robustness metrics for vision models.
Nov 2024
Guest lecture for Ontario Tech undergrads
Spoke about fairness pitfalls in applied ML systems.
Sep 2024
Forensic vision pipeline reached 92% accuracy
New augmentation and calibration pass improved drip pattern classification.
Selected Projects
Visualizing Reliability
An interactive dashboard exploring confidence intervals in modern LLMs using D3.js and React.
ReactD3.js
Narrative AI
A storytelling assistant that helps writers overcome block by suggesting plot twists based on emotion arcs.
PythonNLP