Neil Nie

Undergraduate Student
Computer Science & Applied Math
Columbia University, School of Engineering ’23.
Email: [neil].[nie] at columbia.edu

Thanks for visiting my homepage. My name is Neil Nie, a junior studying computer science and applied math at Columbia University, School of Engineering. My background and interests are in computer vision, deep learning, software engineering, and robotics.

Experiences:

Present

Researcher at Columbia Artificial Intelligence & Robotics Lab, working on articulated object manipulation, computer vision, & embodied AI.

Present

Teaching assistant for Computational Aspects of Robotics (COMS 4733) since the spring semester of 2021.

Summer 2021

Returned to Apple as a software & algorithms intern on the CoreMotion fitness team. Invented a new multi-sensing fitness tracking algorithm.

2019- 2021

Served as President and Software Lead for the Columbia University Robotics Club, leading the MATE ROV project and the autonomous vehicles project.

Summer 2020

Worked at Apple as a software engineer & algorithms intern on the CoreMotion team. Invented a new multi-sensing algorithm, currently patent pending.

Selected Projects

I tried to document the work and progress, and share the open-source code with you. You can visit my blog for more details.

Self Driving Golf Cart

From 2017-2019, I have been developing a self-driving golf cart. From the drive-by-wire system to the autonomous navigation stack, every component was developed from the ground up with the goal of learning as much as I could about robotics, electrical engineering, software engineering, and machine learning. I also developed, trained, and deployed deep neural networks for behavioral cloning and semantic segmentation.

Robotic Arm Gripping System

The project focused on using deep learning, semantic segmentation, ICP, and RRT algorithms to build a complete robotic arm gripping system. The arm uses image segmentation to detect the objects in the bins, uses ICP for pose estimation, and plans paths around obstacles using RRT. (credit: COMS4733 @columbia. not open sourced)

Quadcopter

I built a quadcopter and programmed a flight controller from the ground up. The biggest challenge was programming a PID controller for the Arduino with an IMU. Eventually, it was able to fly around and self-balance in the air.

Talks & Presentations

In the spring of 2017, I gave a TEDx talk about A.I. at Deerfield Academy. You can find my talk here on YouTube. I also served as an executive board member and event coordinator for TEDxDeerfield from 2017-2019.