About

I trained as a biomedical engineer before moving into systems neuroscience.

My early interests were in the devices, measurements, and quantitative systems that support human health. Over time, that engineering perspective led me to the brain, which remains one of the most compelling biological systems to study: complex, dynamic, fragile, and central to behavior.

I am now a postdoctoral scholar at Stanford University, where I study how neural circuits encode behavior and how those dynamics change in Parkinson's disease. My work combines optical methods, computational neuroscience, and statistical rigor, with an emphasis on careful measurement and reproducible analysis.

I grew up in Nogales, Arizona, and now live in Palo Alto with my wife and our son. Most days balance lab, code, and family.