The first time I saw “Star Trek: The Next Generation” on TV, I was shocked by the computer science curriculum.
I was still learning about how computers work, and it was a new way of thinking about the technology.
The idea of a computer running the show, and its ability to solve complex problems, intrigued me.
But as an adolescent, I would often find myself stuck on the wrong end of a question or answer, unable to understand it.
And then, as I grew older, I realized that my questions and answers were not the same as my thoughts and feelings.
In fact, the difference between a person’s thoughts and emotions and the computer’s response was not really relevant to me.
I thought that my thoughts were a different thing than my feelings.
But over time, as my thinking and feelings grew, they would merge into the same thoughts and a different, more accurate understanding of the world.
I began to realize that I didn’t need to be a computer science nerd to understand how the computer works.
My emotions were not really important, but I wanted to understand them.
So in 2015, I decided to learn how computers worked.
I spent the next several years studying computers and software engineering, and I took classes on programming and robotics.
I eventually decided to pursue a career in information technology.
In my final year of college, I took a coding class at the University of Florida, where I got a B in my final course.
I graduated in 2017 with a degree in information management and business administration, a major in information systems management, and a minor in robotics.
After a brief stint at a startup called Nextdoor, I founded a social media marketing firm called Diaspora, which focuses on creating content that is both effective and safe.
And in 2017, I left Nextdoor to focus on my new career as a computer scientist.