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Quick Intro

I'm a scientist that loves to make sense of the world around me - so much so that I want to spend my life asking research questions about how humans sensemake the physical world to solve problems. More specifically, I care about understanding sensemaking as a cognitive strategy for problem-solving in the context of STEM Education. I work on designing and applying state-of-the art machine learning tools that can help us answer some really challenging questions with large amounts of real-time classroom data. This website will be an open-source home for my research, tools, and commentaries in this research domain. Please feel free to reach out if you have any questions or synergistic ideas! 

Publication Highlights

Language encoder multi-task classification model to measure student sensemaking in physics courses

-> https://arxiv.org/abs/2503.15638

Probabilistic variational inference model to simulate individual and group dynamics 

-> https://arxiv.org/abs/2401.14973

Quantum measurement-based ML models can learn order effect patterns in human psychology data

-> https://arxiv.org/abs/2312.03862

General quantum generative models can generalize to unseen data with reasonable expressivity

-> https://arxiv.org/abs/2207.13645

We can simulate non-linear activation functions for ML with quantum measurements

-> https://arxiv.org/abs/2205.14506

What does a good generative model mean?

-> https://arxiv.org/abs/2201.08770

Why are my publications so far mostly Quantum Machine Learning? Read more about my trajectory here! 

Main Outreach Projects

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EWAAB is a mentorship 501(c)3 non-profit organization for young women and non-binary people. If you're interested in learning about mentorship - how to be a mentor or how to find a mentor - this organization might be for you! 

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