I’m a second-year MS in Applied Economics student at the University of San Francisco. Prior to grad school, I have worked on data science at The Data Institute, Mahindra Susten, SugarBox and Happy Loans, solar finance at Sol Systems and energy efficiency at the Sierra Club. I studied Economics at the University of Maryland.
We live in a unique time where big data allows us to test economic theory irl. I’m particularly interested in exploring research questions at the intersection of innovation, entrepreneurship and big data.
Some questions I’m thinking about right now:
- How do you reduce inequality and bias in innovation and entrepreneurship?
- What is the spatial impact of knowledge diffusion, especially in a post Covid-19 pandemic world?
- How is innovation impacted by the democratization of technology? What are its limitations?
If you would like more details: CV, LinkedIn, GitHub
Other interests: I play the sitar and am always looking for people to jam with. Sometimes, I blog about data science. I love networking and will often attend & speak at events. Come say hi if you’re attending any of the future events I’ll be at!
