the goal of this studio is for you to build out your T, the breadth and depth of knowledge + skills needed to solve the problems that you care about.

work on multiple projects to develop a portfolio. to help, we’ve combined best practices across the top learning communities in the world to help you learn and build quickly.

trust the process. it works.

• ben raised $6.5M to build the first non invasive glucose monitor, and has since published the first public data.
• ashley got her first clinical test done remotely from toronto with a clinic in uganda.
• mikey got a research gig at harvard med school at age 17 after working across connectomics and machine learning.

all of these examples are from members in prior programs.

core parts of the process

• learn from the best in the world. everything we do in the studio will be benchmarked against the best in the world, not local maximum. start with projects from best engineers and scientists online. make projects you are proud to send to people from leading companies.
• build in public. share your work through blog posts (build understanding), and videos (to build trust + connection). the internet helps make the world a lot smaller as you
• lead with curiosity, backfill fundamentals. you don’t need 2 years of math to work on trying a new machine learning model. conventional wisdom is outdated to a time where information was scarce and tool access was even more.

there’s never been a better time to build

note all of these projects are individual first, to help you build up your individual skillset.

pick one area to start building in. note, you can do the process multiple times to work through different topics.

software/machine learning

• large language models (agents, co-pilots, assistants)
• federated learning
• computer vision
• deep learning/reinforcement learning
• random forest classifiers
• edge ai
• quantum computing
• digital twins
• spatial computing

health/science

• gene editing
• multiomics
• connectomics
• microfluidics
• microbiome
• material science
• car-t cell therapy
• liquid biopsies
• nanotechnology
• bioprinting

hardware

• wearable sensors
• internet of things
• biomedical devices
• neuroprosthetics
• brain computer interfaces
• robotics

project #1 - explore (~3-5 hours)

“metalearning forms the map, showing you how to get to your destination without getting lost.” scott young, ultralearning