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.
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