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I'm Andrew Simonson,
a senior undergrad at
Rochester Institute of Technology
in the Computer Science BS program (international relations
minor), pursuing a career in data science. I have study clusters in
Data Science and AI and run independent studies in probability theory.
I've worked on a variety of projects, from building analytical tools
performing reactive chemical safety to live feed processing for
frantic work environments looking to improve service. I also do
personal experimentation leveraging open source info streams ranging
from human traffic around campus to watershed temperature monitoring.
My philosophy is that if it isn't explainable then you didn't learn
anything. Data without sound methodology is at best meaningless and at
worst counterproductive and costly. Bringing logical transparency and
literal deductions back into digital analysis enables us to learn
about the world through computing, rather than letting computers make
decisions for the world we think we know. We as data scientists
shouldn't just be building heuristics. We should be making discoveries
and building new knowledge.
Bring the scientific method to AI.