I am a first-year Computer Science student at UC Berkeley interested in Deep Learning, Computer Vision, and related fields in Computer Science.
In the past, I worked on research in robust 3D CT segmentation methods and biomedical image processing at UC Santa Barbara. With HCI researchers at UCSB, I also conducted studies and published work in Immersive Mixed/Augmented Reality.
Before that, I've also worked on ML-based stress prediction software for a cloud computing/virtualization lab, and conducted literature reviews for work in keystroke dynamics at Carnegie Mellon University.
Please reach me at alex-wang [at] berkeley [dot] edu for a complete CV/Resume!
Propose nnU-Net-based 3D segmentation approach targeting lung lesions to improve the accuracy of CT classification processes distinguishing COVID-19 from other viral pneumonia.
Propose Mixed Reality system for contextualization of climate change disasters. Conduct pilot studies to evaluate system's effectiveness against current methods; publish findings.
https://doi.org/10.18034/ajase.v11i1.3