I am passionate about the interaction of technology and humanity and applying science+technology for the betterment of the individuals and society. With deep domain expertise in artificial intelligence, neuroscience, biology and bioinformatics, computer science and software engineering, I am interested in developing and applying technologies to better understand and augment human biology, especially the brain. In parallel, I apply existing and novel AI methods to improve the efficiency and capability of existing systems, with a special interest on RL, explainable AI and AI safety.
In my current view, the most likely solution to the AI Control Problem is augmenting the human brain and biology and, in parallel, developing explainable and safe AI methods.
I am also involved in initiatives around space exploration. I believe that going to space and living elsewhere (like Mars) presents great opportunities for ethical, social, technological and philosophical developments for humanity. I recently started the London chapter of the international Mars Society.
I received my Ph.D. from Imperial College London for work I did on machine learning and computational models for improving brain computer interfaces and modeling brain dynamics, for which I was fully funded by a UK Ministry of Defence DSTL scholarship. I spent some time then thinking about interpretable machine learning and computational methods, as well as RL with human-in-the-loop.
While I enjoy science, technology and business, I am an also a lover of nature – believing that the lack of connection to Earth to be one of the great ailments of modern society.
“If our small minds, for some convenience, divide this glass of wine, this universe, into parts — physics, biology, geology, astronomy, psychology, and so on — remember that nature does not know it!” -Richard Feynman.