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
Research & Publications
Adversarial Attacks on ML based BPA Models
Probing how the ML models used in bloodstain pattern analysis hold up against adversarial attacks.
Does Image Size Matter in BPA
Measuring how much image resolution affects machine learning accuracy in bloodstain analysis.
Paper: The impact of image size on bloodstain pattern analysis using machine learning
Forensic Science International • 2024
Unsupervised Learning for Drip Pattern Analysis
An unsupervised approach that finds and explains the key features hidden in drip patterns.
Paper: Unsupervised machine learning approach for the detection and interpretation of key features in drip patterns
Forensic Science International • 2025
Sentiment Analysis of Twitter Data
Mining Twitter data to measure public sentiment and risk perception around emerging technologies.
Paper: The risk perception of nanotechnology: evidence from Twitter
RSC Advances • 2022
Updates
Defended my Master's thesis
Successfully defended my Master's thesis at Ontario Tech University.