The future? Nuclear fission/fusion plants give us modular unlimited clean energy housed in a diverse portfolio of chemical, mechanical, and natural storage systems, powering widespread EV adoption. The high level of smart vehicles on the road generates an equally high volume of training data for Computer Vision-based Autonomous Self Driving neural networks. Off the road, eVTOLs provide cheap intercoastal domestic transportations, while supersonic spaceplanes connect any two airports in the world in under two hours. As ConsumerTech user flows become marginally more frictionless, startups seek out BCI providers to enable true human-digital integration. An operating system for noninvasive brain signal processing emerges on the hinge of Transfer Learning breakthroughs, utilizing ML models built on clinical animal trials. Software engineers code in plain English as GPT-10 paves the way for AGI, while hardware engineers conjure digital twins in the Metaverse with help from DALL·E 8. Physicists work with bioengineers to recreate comprehensive models of the human genome enabled by quantum computing, conducting drug discovery on a massive scale. Neuroscientists leverage the same computing power for full brain emulations, revealing the source of human consciousness. Out in deep space, thousands of tons of cargo arrive at the Mars settlement carrying vertical agricultural modules, allowing pioneers to grow algae-based foods while filling the atmosphere with O2. The reusable rockets pick up bioengineered organs, rare materials, and critical electronics manufactured in microgravity from the Space Factories orbiting the moon on their way back to earth.
Currently a student at NYU’s Courant Institute of Mathematical Sciences, I am on a 2.5-year track to earn a Bachelor’s degree in Mathematics with a minor in Economics. I am very interested in deep tech startups, more specifically Artificial Intelligence, Robotics, NeuroTech, Aerospace and Defense, Renewable Energy, and Additive Manufacturing.
I’m on a mission to meet as many entrepreneurs as I can.
Phone Number: 978-399-8595