Before starting Muse, I was a Machine Learning Engineer at Govini, where I built data pipelines and ML analytics used by the US Department of Defense.

I originally studied Physics and Neuroscience (dual BSc.) with minors in Mathematics and Biomedical Engineering at Penn State. My introduction to AI was through research at the intersection of deep learning and applied mathematics with the Jinchao Xu Group in 2020, where I developed a novel learning rate scheduler to optimize training runs of MgNet.

I love music, both consuming and creating. Muse initially grew out of my own needs when producing in Ableton Live. You can find what I've been listening to in my playlists section.

Recently my top hobbies (outside of building creative AI) have become meditation and reading philosophy. I spent some time learning Zen meditation at a zendo in southern Japan, and I'm catching up on the major works of Western philosophy in chronological order.

I grew up playing ice hockey, and still am a die-hard Penguins fan. I spent much of my high school and college years playing competitive video games, and peaked at top 500 in Overwatch. I don't play much now, but still think it was a valuable detour for cultivating a mindset for continuous improvement.

If you've made it this far, feel free to say hi!