ESP Biography
LAURENCE LIANG, Software Dev & Hackathon Organizer
Major: Mechanical Engineering College/Employer: McGill University Year of Graduation: 2025 |
|
Brief Biographical Sketch:
Hi! I'm Laurence, a mechanical engineering student at McGill University. I currently work as a data scientist for a Cincinnati-based startup (providing insights for business analytics) and previously interned at a drone company's R&D unit in Tokyo. I love organizing hackathons, and working on research/design projects (prev. ISEF and Imagine Cup World Finalist). My interests include computational biology, space exploration and guitar music. So excited to meet everyone soon! Past Classes(Clicking a class title will bring you to the course's section of the corresponding course catalog)E15416: Controlling a Robotic Arm using Computer Vision in Splash 2022 (Nov. 19 - 20, 2022)
How can you control a robotic arm?
Meet control systems! There are multiple ways to control a robotic device, from working with distance sensors to implementing algorithms such as PIDs. In this session, we'll write a computer program that can track hand and arm movement in real time (using computer vision), and we'll create the logic layer that associates human hand/arm movement with robotic arm movement.
Using a camera and a real-life robotic arm, we will fine-tune the parameters and algorithms behind our computer program. This will allow us to test the ability of our robotic arm to complete a variety of tasks.
Topics: Python, Robotics, Control Systems, Computer Vision, OpenCV, Gesture Tracking
S15418: Identifying Cancerous Cells Using Genetic Analysis and Computer Vision in Splash 2022 (Nov. 19 - 20, 2022)
How can you identify cancerous cells?
Numerous methods exist to identify cancers from counting blood cell types to identifying specific proteins. In this session, we will be using 2 computational methods - image segmentation and genetic analysis - to identify cancerous cells.
We will write a computer program that uses artificial intelligence to identify cancerous cells in a microscope photograph. We will also write a second computer program that performs genetic analyses (and sequence alignments) to track down genes with properties related to cancer.
Topics: bioinformatics, genetics, cancer, computer vision
|