# Daniel Lee

> Software Engineer at Waymo

Location: Burlingame, California, United States
Profile: https://flows.cv/daniellee2

Extensive experience in probabilistic state and scene estimations using sensor fusion. Excellent hands-on development experience on ground robots and autonomous vehicle, which consist of ground vehicle position estimates, SLAM, object tracking, terrain estimation, and more. Enhanced developing and debugging experience with various sensors including IMU, GPS, Odometry, 2D/3D LIDAR, Kinect, Camera.

## Work Experience
### Software Engineer @ Waymo
Jan 2020 – Present

### Senior Software Engineer @ Cruise Automation
Jan 2018 – Jan 2019 | San Francisco Bay Area
Has worked on Intrinsic and extrinsic calibration of a number of sensors, including camera, lidar, and radar.

### Research Associate @ Cornell University
Jan 2017 – Jan 2018 | Ithaca, New York Area
Working on perception and target tracking for an autonomous vehicle. My responsibility consists of developing and improving detection and tracking algorithms, managing master and undergraduate projects (i.e. deep learning, estimation, detection, embedded system), and constantly communicating and supporting sponsoring company's needs.

### Postdoctoral Research Associate @ Cornell University
Jan 2016 – Jan 2017
Developing pedestrian and cyclists tracking algorithm to be used in an autonomous self-driving vehicle. The algorithm utilizes multiple different types of sensors - such as 3D laser range finders, cameras, radars, etc.


## Education
### Doctor of Philosophy (Ph.D.) in Mechanical Engineering
Cornell University

### Master of Science (M.S.) in Mechanical Engineering
Cornell University

### Bachelor of Science (B.S.) in Mechanical Engineering
Cornell University


## Contact & Social
- LinkedIn: https://linkedin.com/in/daniel-j-lee

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Source: https://flows.cv/daniellee2
JSON Resume: https://flows.cv/daniellee2/resume.json
Last updated: 2026-04-05