Laryn Qi

I'm a 5th-year Master's student in EECS at UC Berkeley. Prior, I received my Bachelor's in CS and Music at UC Berkeley. You can find my coursework here.

Currently, I'm interested in CS Education, CS Theory, and Machine Learning.

larynqi [at] berkeley [dot] edu
CV  /  Resume  /  LinkedIn  /  GitHub

We present a survey on state-of-the-art cut algorithms. Topics and problems covered include  Fair Cuts,  Minimum Balanced Cut,  and  Sparsest Cut.

[Spring 2023] Outstanding Graduate Student Instructor (OGSI) Award.

[Spring 2023] Top 6.5% in CS 189 (Machine Learning) Kaggle competition (>700 students). Trained an SVM model to classify CIFAR-10 data with 56% accuracy.

[Fall 2021] Top 6% in CS 170 (Algorithms) Final Project competition (>700 students). Designed a greedy algorithm implemented with dynamic programming to approximate an NP-hard problem. Generated and tested heuristics on the cloud.

[Spring 2021] Upsilon Pi Epsilon (UPE). International CS Honor Society. Top third of Berkeley CS majors.

[Spring 2020] CS 61A Outstanding Academic Intern. Awarded to top 9 out of over 130 Academic Interns for exemplary teaching.

Last updated May 23, 2023.