Does order spontaneously arise in our complex world, or are we just good at finding subtle patterns amidst chaos? In my recent publications, I explore both these possibilities using tools from dynamical systems theory, statistical mechanics, and information theory, as well as experiments with robotic swarms.
See my Google Scholar profile for more details.
Also check out my new Blog where I speculate about fun scientific ideas.
I am a postdoctoral researcher in the dept. of physics at MIT, working in complexity science and statistical mechanics, with experience in stochastic systems and control. Having completed my PhD in theoretical physics, I am now looking to build a better understanding of the real-world problems faced by businesses and governments. I am especially excited to develop practical insights about complex human systems based on my expertise in dynamical systems and networks.
I have completed my B.Sc. in physics and math at the University of Michigan, with one year study abroad at Oxford U. in England, followed by M.Sc. in theoretical physics at the Perimeter Institute in Canada. I then spent a year teaching at a master’s math program in Senegal and interning at the Bernstein Center for Computational Neuroscience in Berlin, after which I joined the department here at MIT, where I completed my PhD work with Prof. Jeremy England.
You can find my LinkedIn here.
Self-organization of groups of simple robots, overlayed with their simulated dynamics