Daphne Tsai

Experience

• 

  University of Michigan Transportation Research Institute

  Aug 2020 - Dec 2022

  Undergraduate Research Assistant

  Faculty Advisors: Dr. Carol Flannagan and Dr. Kathleen Klinich, CMISST group• Developed a data evaluation program to parse accuracy scores of 7587 IVBSS videos to evaluate neural network strength• Expanded upon labeling software by implementing a limb-labeling feature to track passenger movement• Discussed research findings to faculty and students at the University’s Engineering Research Symposium

• 

  Multidisciplinary Design Program

  May 2021 - Aug 2021

  Summer Research Fellow
• 

  ADASTEC Corp.

  Jan 2022 - Dec 2022

  Perception Software Engineer

  •Trained a YOLOv4 model that achieved a mAP score of 48.79% (IoU threshold of 0.5) at 70.19 FPS on proprietary testing data to be integrated onto the company’s L4 autonomous driving software platform• Fused the trained YOLOv4 model with existing V2X infrastructure (SPaT messages) into a ROS Melodic environment to improve decision making at traffic light intersections• Conducted extensive literature reviews on deep learning and V2X technology integration for novel perception models

• 

  TechLab at Mcity

  Jan 2022 - Dec 2022

  Perception Software Engineer at ADASTEC Corp.
• 

  Multidisciplinary Design Program

  May 2022 - Aug 2022

  Summer Research Fellow
• 

  Owens Corning

  May 2022 - Aug 2022

  Software Engineering Intern

  • Leveraged Node.js and Puppeteer to scrape web data by refactoring API code for Lighthouse and Google Search Console• Created data visualizations of SEO trends using PostgreSQL while working in an agile development environment• Presented project findings and suggestions for future work to executive leadership members and other interns

• 

  Computer Science and Engineering at the University of Michigan

  Aug 2022 - Apr 2023

  Faculty Advisor: Professor Nikhil Bansal• Conducted an extensive literature review on past and current algorithms used to approximate the k-set cover problem • Hosted 3.5 hours of office hours per week, taught ~20 students weekly, and answered student questions on Piazza• Collaborated with a 25-person teaching team to write, test, and grade exams for a class of ~700 students

  • Undergraduate Research Assistant

    Nov 2022 - Apr 2023

  • Instructional Aide, EECS 376: Theoretical Computer Science

    Aug 2022 - Apr 2023
• 

  KEF Robotics

  May 2023 - Aug 2023

  Visual Perception Intern

  • Developed a custom ONNX configuration for a CUDA-accelerated, transformer-based semantic segmentation model and improved inference time by 44% through TensorRT optimization and PTQ static methods• Wrote a custom MobileNetV2 backbone architecture to optimize real-time semantic segmentation on PyTorch 2.0 by 64% while under GPU computing constraints to investigate accuracy vs. speed tradeoff• Fine-tuned a powerline detection model on a training set of 10122 simulation and real-world IR images that achieved a 0.312 IoU after validation on 1206 real-world IR images through 100 epochs Show less

• 

  Computer Science and Engineering at the University of Michigan

  Aug 2023 - now

  Graduate Student Instructor, EECS 376: Theoretical Computer Science

  • Overseeing course operations by making homework assignments for ~700 students and managing 16 instructional aides