For years, I was a patent prosecutor at MoFo, a top Big Law firm for intellectual property. I drafted and prosecuted for Fortune 500s, as well as for start-ups, across the domains of software, hardware, and biotechnology. Prior to my time in law, I was a PhD student at Caltech, studying AI / comp neuro. There, I studied the relationship between biological and artificial neural computing algorithms. At Fearn, I get to combine my technical and legal skills to build otherwise impossible AI tools.

Prior to Fearn, I completed my PhD at Caltech, studying AI and its mathematical underpinnings. My PhD thesis focused on developing physics-aligned generative models. I also worked at Google Research, where I developed proprietary AI models. At Fearn, I continue to develop rule-aligned models, but instead of physics alignments, our AI models are aligned to the rule of law.