I am a rising sophomore at Stanford University interested in Computer Science, Computer Engineering, and Electrical Engineering!
Throughout my time at Stanford I have taken coursework involving computer systems as well as data structures and algorithms. Throughout my studies I hope to explore the intersection between computer engineering and AI to further the field of technology as a whole.
Throughout my research associated with the Lamat Research Fellowship I worked on creating a synthetic population model simulating both M dwarves and brown dwarves in our galaxy. In the end, I was able to generate a structured database documenting these objects and their evolving stellar properties (e.g. effective temperature, mass, luminosity) over time, utilizing recent evolutionary models for low-mass stars and sub-stellar objects.
Throughout the spring quarter I was a part of a team that provided support to over 100 students per quarter enrolled in Stanford’s introductory CS106A and CS106B courses in Python and C++ by offering weekly assistance in debugging and troubleshooting code issues during support sessions.
As part of our Biomedical Engineering Course we researched and constructed a simple neural network model in MATLAB with 97% accuracy to predict epileptic seizures by utilizing brainwave data of both non-epileptic and epileptic persons.
Selected as 1 of 750 out of 51,000+ applicants nationwide for last-dollar funding of my undergraduate career.
Selected as one of 10,000+ scholars out of 100,000+ applicants in recognition of my academic and extracurricular achievements in high school.