I am a second year math PhD student at UCLA. In 2019 I graduated from Cal Poly in San Luis Obispo with a B.S. in Mathematics and a Minor in Physics. I am happy to say that I am currently supported by the NSF funded MENTOR fellowship. I have many hobbies but am notably involved in competitive table tennis and super smash bros (melee). My pronouns are he/him/his.

My current résumé can be found here.

My currents research interests are still developing, but I have interests in signal processing, image and natural language processing, and mathematical modelling. Currently, I have only explored topics related to image processing.

Notably, I explored some techniques in the realm of adaptive image thresholding and applications of image thresholding to videos for the purpose of segmentation. An example of this is seen at the right in which the video of the driving cars is segmented using Otsu's method along with pre-processing techniques to highlight the moving cars in the foreground of the image.

Below the driving cars is an example showing the convergence of the Chan-Vese segmentation method applied to an image of the United States of America. Credit for the video belongs to Pascal Getreuer for the code hosted in the IPOL paper 'Chan-Vese Segmentation'. The Chan-Vese algorithm is a seminal segmentation technique developed in-part by UCLA's very own Professor Luminita Vese.