Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
ASO(Student Body)- Division Council of Natural Science
HTP club
MESA Program
HTCC Conference- Science Research x 2
AGS- Alpha Gamma Sigma honor society
San Pedro Little Company of Mary Hospital Volunteer
Gastric cancer is a highly prevalent tumor affecting millions of men worldwide, but poor understanding of it has limited effective clinical management of patients. In addition to transcriptional profiling or transcriptomics, metabolomics is being increasingly utilized to discover key molecular changes underlying tumorigenesis. In this study, we integrated metabolomics to analyze 95 humans with and without gastric cancer paired with their urine sample. Here, we improved a data-independent acquisition metabolomic workflow to reveal distinct molecular features or metabolites related to gastric cancer.
• In terms of data science point of view, given a random data set, I used a PLS-DA Machine Learning Model for data analysis to identify a pattern and identify a “biomarker”.
Built a game called Peach Party with C++.
Peach Party is a two-player game set in a world that resembles a traditional board game. The players must direct their avatars, Peach and Yoshi, along the squares on the game board collecting coins and stars, while trying to avoid baddies like Bowser and Boo who cause all sorts of trouble. When the game starts, the players may choose what board they want to play by pressing a key from 1 to 9; each board has a different layout and set of challenges. The winner of the game is the player who has collected the most stars and coins during 99 seconds of game play. If both players have collected the same number of stars, then the number of coins is used as a tie-breaker. If both players have the same number of stars and coins, then a winner is randomly picked.
Created a website for fellow Bruins using React JS, HTML, and CSS.
This website was created to help the fellow UCLA students pick an affordable and fun destinations for their traveling desires.
In this website, each travel destination is ranked by user reviews.
Users review several aspects of each destinations like affordability, food, transportation, and etc for each city, then each destination is ranked depending on the points each destination received from users.
Using dynamic data to rank each destination for a high quality recommendation of destinations to travel for poor college students was the big focus of this website.