Alvin(Yuhuai) Luo

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level developer position. Ready to help team achieve company goals. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

 A personalised web portal  -The University of Auckland  -June,2022 

-Link: https://github.com/AlvinLuoooo/web-portal

A group project,A portal with unique features was created, including a multiple search bar, bookmark, countdown, weather, calendar, sticky notes, news and more. I was responsible for completing the sticky notes using technologies such as react and ant-design, adding drag and drop functionality, and connecting to the backend (Axios) and writing the required information to the database (MangoDB). The problem of the data not matching the database after drag and drop was overcome. 

 WebRTC Video Call With Danmaku(a Japanese term for the subtitle system used by online video platforms) -The University of Auckland -October,2021 

-Link:https://github.com/AlvinLuoooo/WebRTC-WithDanmaku 

In a group project, I designed and built a webRTC (web real-time communication) application and added the Danmaku feature to it to experiment with the impact of this feature. I used JavaScript, NodeJS, and Socket.io, and I executed some of the JavaScript parts and the HTML parts.

Fast and accurate chromosome assembly – streamlining curation using image-based methods(in progress) - The New Zealand Institute for Plant and Food Research Limited -August,2022 

Link（An example,Authorised）: https://github.com/AlvinLuoooo/HIC-HEATMAP

To accurately assemble animal and plant genomes at the chromosome level, these large and complex animal and plant genomes require long-distance linkage data (i.e., Hi-C data) as a bridge. And the HI-C heatmap generated from HI-C data is a global method for viewing the strength of interactions between different regions of the genome. But due to splicing problems, monotype, However, due to splicing problems, monotype retention, etc., the generated HI-C heatmap is prone to errors, so this project is designed to use the image process method to find errors in the heatmap and backtrack back to the HI-C data for correction.