>> David.projects => Tetris AI (in-progress) Written using JavaScript
AI weights learned with genetic algorithm
=> Handwritten digit recognizer Written in Java
Implemented with a feed-forward neural network

>> David.experience => Undergraduate Research Assistant Built a machine learning speech interpreter
Allow for human speech to manipulate Google Blockly
Develop in JavaScript using jQuery and Bootstrap
=> Wisconsin Robotics Programmer Artificial Intelligence and Simulation team
Improving robot independence in maneuvering
Develop code for the simulation robot in C++

>> David.hometown => Milwaukee, WI

>> David.age => 19 (October 1997)

>> David.fun_facts => Skipped 2nd grade
=> Applied to exactly 1 university and made it in!

>> David.family => Youngest of four siblings

>> David.technology => Smartphone: Samsung Galaxy S7 Edge (Android Marshmallow 6.0.1)
=> Laptop: Dell XPS 13 2015 (9343)
=> Longboard: Bustin Nomad 2015

>> David.hobbies => Hackerrank: 74994
=> Rubiks Cube Speed-Solving ("cubing")
=> Rock Climbing: 2015 High School State Champion
=> Ultimate Frisbee: Handler on UW's Pimpdags
=> Downhill Longboarding

>> David.cubing.personal_bests => Single: 9.90
=> Average of 5: 13.05
=> Average of 12: 13.58
=> Average of 100: 14.74

>> David.cubing.favorite_cubes => Qiyi Valk 3
=> Moyu Weilong GTS M

>> David.cubing.solving_method => CFOP: Cross, F2L, OLL, PLL
=> Cross: Form a cross on the bottom of the cube
=> First 2 Layers: Insert 1x1x2 blocks into middle and bottom layers
=> Orient Last Layer: Solve top pieces so the top color is correct
=> Permute Last Layer: Permute pieces to final positions

>> David.cubing.thoughts_on_improvement => Better (knowing how the cube will look a few moves in advance) Can be improved through more focus practice
=> Learn More Algorithms Currently know all of OLL, 100% of PLL. Learning VLS and COLL now!
=> F2L Efficiency Improve F2L efficiency by learning more algorithms, edge orientation, amd multislotting.

>> David.why_CS I've always been fascinated with technology, from when I played Pokemon Emerald on my Nintendo GameBoy Advanced SP to when I made my first program in TI-Basic to when I picked up JavaScript in High School all the way to where I am now. I sincerely appreciate seeing the power of code and enjoy analyzing my code, improving its efficiency, and learning new technologies. I also love taking computer science classes because of how much I learn and how interesting I find the subjects to be.

>> David.why_UW As a school with a strong computer science school located near my family's place of residence with excellent undergraduate research opportunities, UW was a natural choice for me. I followed the footsteps of my father, brother, and two sisters in becoming a Badger and have loved every moment of it and have no regrets about choosing to apply to just this school.

>> David.favorite_class CS 540: I really enjoyed taking this class because of how real, applicable, and amazingly powerful artificial intelligence is. I loved learning about deep learning, game playing, and singular-value decomposition, to name just a few topics.

>> David.favorite_CS_aspect For me personally, I really like knowing things, whether I had learned them in the past or do not yet know them. With artificial intelligence, I can use computer science to my advantage to discover things that I never knew before; patterns in data, what a computer think's about a particular image, etc. The possibilities for knowledge discovery are endless, as is my desire to learn and grow with computer science.