Daniel is a neuroscientist and engineer passionate about bridging biology and technology to advance cognitive preservation and mind uploading. With expertise in brain-computer interfaces, neural tissue engineering, and computational neuroscience, he has contributed to cutting-edge projects spanning simulated neuronal models, brain organoid research, and reinforcement learning with biological neural networks. Daniel’s work integrates wet lab methods with in silico approaches, ultimately aiming to make dying optional in the long run.
