About ME

When I share that I help investors with AI diligence, I often get asked about my background and how I got started in this. 

It’s been a great way to use my unique expertise in academia, industry, and startups. :)

• As an operator with over 10 years of experience as an IC and Data Leader, I’ve invented, implemented, scaled, and supported AI algorithms and led global data/AI teams to answer business questions in real-time across industries and companies of all sizes. 

• As an educator, I’ve also created a graduate course and taught 80+ graduate students on software development best practices for how to take a request, develop a POC, and then make it a real-time AI algorithm. 

• I’ve helped investors and accelerators evaluate over 100 startups and share advice on diligence on my Substack.

I know firsthand the challenges and trade-offs involved in developing AI algorithms; I've given many talks at conferences on the topic. I now help investors evaluate this.

Fun Fact: I have a PhD in Statistics from UCLA, where I developed a novel image compression algorithm and uncovered similarities between two storms on Jupiter -- a finding confirmed by NASA’s Juno mission 6 years later. It's a special case of the many popular LLM models today.