I am the founder of Clockwork Micro, a software company that makes it easy to work with geospatial data and make online maps.
I maintain hobby maps (built using Clockwork Micro) for three mountain regions that are dear to me:
I grew up in Upstate New York and live in Seattle with my wife and three children.
My family and I spent the 2023-2024 school year in Paris. I'm an enthusiast of learning languages and have written several blog posts on the topic on my Medium Page.
I am the author of Epsilon and Delta, a monthly math workbook for children. The subtitle of the series says what it's about: "Discovering the Beauty of Mathematics with Elementary School Children". Somehow between work and kids I just don't find much free time, and so the next installment won't be out until the 2025-2026 school year.
In 2014 I started HowLoud, which offers an environmental noise map of the entire US. From a technical perspective, this was a geospatial computation. In 2016 two companies asked me if I could build a flood data service, and so I did and started National Flood Data. The services that Clockwork Micro offers largely come from pieces of the tech stack built for these two companies.
| National Flood Data | 2016 | Flood data for insurance companies |
| HowLoud | 2014 | National environmental noise mapping |
I received a PhD in applied math at UC Davis in 2008 and was then a postdoc in the EE departments at TU Berlin and TU Munich and the Computing and Mathematical Sciences departmant at Caltech. I wrote a dozen papers papers in random matrix theory, harmonic analysis and signal processing.
The work most dear to me is work on the discrete or finite dimensional version of Heisenberg's uncertainty principle. Collaborators and I wrote four papers on this topic, but the most basic question (the largest eigenvalue) remains unsolved. I hope to get an email one day with a proof. An article in the Proceedings of the Academy of Sciences describes many areas where this conjecture likely holds, but the simplest and most beautiful, and possibly most difficult, is the Fourier submatrix.
I love connecting again with old friends, neighbors, colleagues and classmates. If we know each other from St. Clement's Elementary, Sarotoga Springs High School, Congress Bundestag Program, Uni Tübingen, Cornell, McGill, UC Davis, TU Berlin, TU München or CalTech ....drop me a line.