Difference between revisions of "User:Ncp14"
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My name is Noah Pritt and I am a freshman at Duke University. My goal is to obtain a double major in electrical engineering and computer science. My dream is to start a high-tech company after I graduate. | My name is Noah Pritt and I am a freshman at Duke University. My goal is to obtain a double major in electrical engineering and computer science. My dream is to start a high-tech company after I graduate. | ||
− | *[http:// | + | *[http://noahpritt.net/ Personal Website] |
*[https://www.linkedin.com/in/noahpritt LinkedIn] | *[https://www.linkedin.com/in/noahpritt LinkedIn] | ||
Revision as of 04:14, 14 September 2015
About Me
My name is Noah Pritt and I am a freshman at Duke University. My goal is to obtain a double major in electrical engineering and computer science. My dream is to start a high-tech company after I graduate.
Current Courses
I am currently enrolled in:
- Math 212: Multivariable Calculus
- COMPSCI 201: Data Structures and Algorithms
- DOCST 105S: Documentary Studies: A Video Approach
Projects
Listed here are some of the projects that I have been working on. For more information, as well as additional projects that I've created, please visit www.noahpritt.net.
- I created an Android application for indoor navigation. It uses WiFi signals and the earth's geomagnetic field to provide a user with their location indoors. This project placed 2nd in computer science at the INTEL International Science and Engineering Fair in 2014. For more information, you can check out my publications here, here, and here.
- Over the last summer I developed my own social media app. It works just like Instagram, but with an intriguing twist: each friends circle is ruled by a Tyrant, who controls its feed. Users can launch campaigns to overthrow unsatisfactory Tyrants, leading to a social media experience with a competitive twist. Tyrant is currently in Beta and set to release in mid-October; check out its website at www.tyrantapp.com!
- This is a system that I developed while interning at the National Cancer Institute. It is a technique to predict mutations that lead to cancer based on correlations between mutation recurrence rates and cancer pathways.