Hello!
I’m Lawrence Bitzer
I recently earned my Master of Management from the University of
Michigan's Ross School of Business and hold a Bachelor of Science in Computer
Engineering from the University's College of Engineering. My academic journey has fueled
my passion for game development, where I combine my technical expertise with
my collaborative and communication abilities to create compelling gaming experiences.
I am currently working at the University of Michigan Center for Academic Innovation as
an XR developer on a project to help
School of Kineseology students diagnose concussions using the SCAT6 protocol. Don't
hesitate to reach out if you have any questions about me or my projects or would just
like to discuss anything game development related!
Feel free to check out some of my non-gamedev related projects below as well, I'm happy to talk about any of those too.
August 2023 - December 2023
• Headed a team in employing a Bilinear Convolutional Network (B-CNN) to transcode cancer histology images into functional Deep Texture Representations. These representations were subsequently utilized in three downstream tasks, effectively validating the B-CNN's utility
May 2022 - August 2022
• Established ECIES encryption for Ford's PaaK services via Elliptic Curve Integrated Encryption Scheme and Bouncy Castle API. The resultant generic API yielded reusable encryption and decryption schemes, streamlining software testing and implementation, increasing efficiency within the in-house development process
January 2020 – September 2021
• Identified and profiled kidney glomeruli using a sparse dataset of biopsy images. Incorporated replication and augmentation techniques, including grayscale rendering, and harnessed FastAI to perform object detection and segmentation, thus bolstering our dataset and enhancing its versatility for precise feature analysis
• Utilized Yolov3 to detect contours of each glomerulus for deeper analysis. Configured model parameters and implemented performance metrics. Achieved a model accuracy of 89%