Mathematics has a theoretical and experimental component, with recent advancements allowing for more experimental approaches in the field.

When physicists need mathematics, they often rely on precursors developed by mathematicians, as seen when Einstein sought help from mathematicians for curved space.

In mathematics, we often start with hypotheses and explore their consequences, unlike other disciplines where conclusions drive the inquiry.

The goal during my five-year research period was to apply geometric algebra to practical uses and basic research, exploring its potential in various applications.

I'm often referred to as the Mozart of math, having won the Fields Medal and the Breakthrough Prize in mathematics, and contributed groundbreaking work across a wide range of fields in mathematics and physics.

Growing up, I was fascinated by solving math problems and understanding how machines work, which laid the groundwork for my interest in AI and its practical applications.

One of my early projects involved translating classical projective geometry concepts into geometric algebra, which simplified the mathematical complexity of computer vision tasks.

My PhD focused on image restoration, specifically using differential equations to solve problems similar to those addressed by Photoshop's content-aware fill.

Mathematics is about finding connections between different fields, and this process has been ongoing throughout history, such as the unification of geometry and number theory.