Profile 00 00@2x

李兆峻  George

 Yuan Ze University

Taipei,TW

Experience

ASUS,2020 / 9 - Present

Software Engineer, Backend Engineer

1. API development (python, Django, DRF, unittest, channel)

     According to the user's request, design and develope appropriate API.

2. Version control (Gitlab, Gitlab-ci)

     Maintain and improve CI/CD flow on Gitlab. Automatically deploy the latest project.

3. System management (Nginx, Supervisor, Daphne, Gunicorn)

     Nginx for managing system network. Supervisor for run asgi and wsgi system at the same time, run wsgi system via Gunicor, run asgi system via Daphne.

FEMH,2020 / 7 - 2020 / 9

Data Engineer, database management and integration of data from different sources to provide users.

ROCMC,2019 / 9 - 2019 / 12

Served in Taiwan's military, Marine Corps.

Nuuo intern,2016 / 2 - 2016 / 9

As a research and development intern in Nuuo.

Education

Yuan Ze University,2017 / 9 - 2019 / 7

Master of Computer Science

Yuan Ze University,2012 / 9 - 2017 / 7

Bachelor of Computer Science

Skills


Programing

Python

C#

PHP

C


Relevant Course

Django + DRF

Devops (Gitlab, Azure)

Sql

Linux

Jenkins

Tableau


Language

Chinese (native)

English (Toeic - 620 (2015/06))

Thesis


Identification and Characterization of Cancer Driver Mutation Affecting Post-translational Modification

Paragraph image 01 00@2x

We collect cancer mutations and human experimental PTM sites, and then we use several computational approaches to identify cancer driver genes and driver mutations. Next, we detect PTM sites around driver mutations. We will recognize disease mechanism through PTM related driver mutations.

Project


dbPTM

dbPTM is a database aims to provide functional and structural analyses for post-translational modifications (PTMs). I integrate the association of PTMs and nsSNPs for the database. We can  understand diseases through these associations.
PMID: 30418626 

Paragraph image 00 00@2x
Paragraph image 01 00@2x

dbPTMut

dbPTMut uses 4 computational tools to identify cancer driver genes. And use 1 tool to identify driver mutations on the driver genes that were detected by previous step. Next, dbPTMut finds the same position of the Post-translational modification (PTM) site and driver mutation on the protein sequence.