Machine learning is everywhere these days, as we train computers to drive cars, play video games, and fold laundry. This intersects my lab’s research as well, which involves lots of computational image analysis (e.g.). Nearly everything my students and I write involves writing or applying particular algorithms to extract information from data. In the past … Continue reading Learning about (machine) learning — Part I
I spent much of my undergraduate life in UC Berkeley’s Astronomy department. I was an astrophysics and physics double major for quite a while, and I spent countless hours working with our undergraduate-built rooftop radio telescope (shown), both helping build it and serving as a teaching assistant in the laboratory course we designed around it. … Continue reading Berkeley astronomy news (rotten eggs part 2?)
I’m a bit behind in writing summaries of recently published papers from my group. Here’s one that’s a few months old — I’m spurred to write now since I just learned two days ago that it got onto the cover of JACS, the flagship journal of the American Chemical Society: M. D. Hammers, M. J. … Continue reading Seeing the smell of rotten eggs
The Eighteenth Elephant 