Im Parker, an undergraduate student at the University of Alabama, working towards a masters in Pure Math after completing math + cs degrees.

I have experience in ai safety, diffusion, and MFT statarb.

I approach problems in a unique way, drawing from both startup environments and mathematical rigor, aspiring to be an output driven engineer.

My previous research has largely centered on building models with limited SNR.

Through projects in financial time series, I found that statistically significant improvements rarely translate into usable edge, forcing a shift in focus from optimization to understanding.

This has pushed me toward more principled approaches; I have learned firsthand that applicability is the true metric of evaluation.

I care about building things that exist beyond theory.

I recently declined an opportunity offering immediate financial upside, but conflicted with long-term control and legitimacy:

I simply value legitimate acceleration via real-world impact over short-term gain.

Though much of my previous work has been independently driven, I am actively seeking environments where I can collaborate to ship systems that people actually use.