M.S. Computer Sciences
GPA 3.88/4.00. Focus in computer vision, adversarial machine learning, and deep learning.
B.S. Computer Science and Electrical Engineering
GPA 3.82/4.00. Computer science focus in machine learning and operating systems. Electrical engineering focus in digital signal processing.
Spring 2017Minnehaha Academy
College Preparatory School
Received two Presidential Awards in Mathematics, Arts and Scholarship. AP Scholar with Distinction.
Aug 2023 - FutureApplied Intution
May 2022 - Aug 2022Anduril
Developed embedded real-time single-object CV tracker for defense applications, improving upon prior optical flow based model by 23% (measured via HOTA metrics). Reduced labeller workload by 29x by implementing high-framerate auto-labelling pipeline.
Sep 2021 - May 2022UW-Madison
Deep Learning Vision Researcher
Research focus on improving out-of-distribution object detection under Dr. Sharon Li. Emphasis on producing robust models impervious to domain shifts.
May 2021 - August 2021Tesla
Developed and tested confidence score for 5D point cloud data. SIMD hardware acceleration for multi-core processor with shared memory FPGA interaction.
Jan 2020 - Aug 2020Tesla
Autopilot Hardware Intern
Developed SLAM based object recognition algorithm with O(N) run time execution compared to previous O(N²)
June 2019 - August 2021Wisconsin Racing
Designed electronics and wrote firmware for modular battery management system for 77S4P Li-Ion accumulator. Firmware incorporates Kahlman filter tuned off battery modeling simulation.
May 2019 - Aug 2019Electronic Theatre Controls
Software Engineering Intern
Developed and tested SPI drivers for interacting with various ICs. Wrote CAN bootloader for Cortex-M4 based MCU.
NeurIPS '22Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li
SIREN: Shaping Representations for Detecting Out-of-distribution Objects
CVPR '22Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li
Unkown-Aware Object Detection: Learning What you Don't Know from Videos in the Wild