My name is Austin and I am a new PhD student at Cambridge studying machine learning. I am very interested in applied math: right now I am most excited at prospect of custom AI systems that could help increase the rate of scientific research. This will be the focus of my PhD studies. *Insert detailed description of my future thesis here.*
I have had a varied and interesting university career. At first I thought I wanted to be a chemical engineer… and then I realized that chemical engineers just move fluids through pipes and occasionally heat the pipes (sorry chemical engineers). Then I transferred into a program called nanotechnology engineering, which I found very interesting. This program taught me that:
Motivated by this, I transitioned into doing more programming. After getting some experience in the software industry (to learn best practices for coding and development), I will be returning to academia to do my PhD. I’ve chosen a group that specializes in Bayesian machine learning, since I think that will give me the mathematical, statistical, and computational expertise necessary to solve difficult problems. Hopefully my vague plan succeeds in some way…
In my spare time, I like learning new, interesting things. Lately this has consisted mostly of math and programming, but I am also super into language learning, mostly because I like thinking about different ways ideas can be structured. I am also quite obsessed with optimizing my life. I probably think way too much about efficiency.