Building Eignex in the Open

I've always been fascinated by applying optimization to solve real-world problems. It is often an inherently multidisciplinary activity, and there is something deeply satisfying about taking distinct, often siloed ideas and jamming them together to create something that is fundamentally better than the sum of its parts. In my PhD thesis it was search-based optimization, multi-armed bandit algorithms, combinatorial optimization, probabilistic machine learning, and of course, software engineering.