The only way to change the world is to change the way we think.
"One of the most important challenges in machine learning is to develop algorithms that can learn from small amounts of data."
The future of forestry lies in balancing economic growth with ecological preservation.
Sometimes the most important experiments are the ones that fail, because they teach us what doesn't work.