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4-6 years
6-10 years
10-15 years
More than 15 years
Engineering Manager @Viscovery 創意引晴股份有限公司2018 ~ Present
・
Within one month
Weir, ..., Broad-DREAM Community , Gustavo Stolovitzky, William C Hahn, Adam A Margolin "A community-based challenge for building predictive models of gene essentialities over a large-scale functional screen of cancer cell lines", Cell Systems 3. Erh-Kan King , Chung-Yen Hung, Winston Hsu, "Visual-Textual Convolutional Neural Network: Rening Image Representation With Click-Through Data", to appear in going to submmit in arXiv. Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
Electrical Engineering
Senior software engineer @Compal Electronic, Inc.2019 ~ Present
・
AI工程師、後端工程師
Within one month
Employed
Full-time / Interested in working remotely
4-6 years
National Kaohsiung University of Applied Sciences
・
Computer science and information engineeringAI 工程師 @台灣塑膠工業股份有限公司2020 ~ Present
・
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within six months
Employed
Full-time / Interested in working remotely
4-6 years
Chung Yuan Christian University
・
Master in Chemical EngineeringEmployed
Full-time / Interested in working remotely
4-6 years
國立嘉義大學
・
資訊工程系
Post Doc position or Research professor
Within one year
of Korea Winter internship, Dept. Research and Development (R&D) - CT Reconstruction Algorithm using Matlab Awards 2021, Asia-oceania Federation of Organization Medical physics Best Ph.D Award Winnner : [link] 2021, Body morphometry AI segmetation challenge (보건복지부) Top prize : Kidney and kidney tumor segmetation network by using nnUnet and STAPLE algorithm 2021, 9th Japan-Korea Joint meeting on Medical physics (한-일 의학물리학회) Young Investigation Award : Beam Angle Optimization for Double-Scattering Proton Delivery Technique Using an Eclipse Application Programming Interface and Convolutional Neural Network 2021, 9th Japan-Korea
Full-time / Interested in working remotely
4-6 years
Yonsei University
・
Dept. Computer engineering
Data Scientist/Machine Learning Engineer @CloudMile_萬里雲2019 ~ Present
・
Data analyst, Machine Learning engineer.
Within six months
智慧家電Chatbot後端平台之開發，使用者可透過LINE直接操作家中的電器，省去使用智慧家電APP操控. (Golang, Heroku, PostgreSQL, Line Chatbot, Azure Cognitive Services) • 實作Convolutional Neural Network與遷移學習在自駕車專案中的物件偵測. (Python, Pandas, Scikit-learn, Tensorflow, Keras) • 建立OTA系統後端開發，讓使用者可以隨時更新韌體.(PHP
Employed
Full-time / Interested in working remotely
4-6 years
National Taiwan University of Science and Technology
・
Computer Science
Offline
Offline
Teaching Assistant @Georgia Institute of Technology | The University of British Columbia2014 ~ 2019
・
PHD Student
More than one year
earthquakes beneath southern Vancouver Island publication date MG Bostock, AM Thomas, G Savard, L Chuang, AM Rubin Journal of Geophysical Research: Solid Earth,Ambient tremors in a collisional orogenic belt. publication date LY Chuang, KH Chen, A Wech, T Byrne, W Peng Geophysical Research Letters,Conference presentation A Deep Convolutional Neural Network Model for Earthquake Phase Picking in Taiwan publication date Dec 12, 2019 publication description 2019 AGU meeting Tremor or train? An attempt to discern tremor and noise using a deep convolutional neural network publication date Sep 8, 2019 publication description 2019 SCEC meeting A Machine Learning Approach
Intern / Interested in working remotely
6-10 years
The University of British Columbia
・
M.S. in Geophysics
Senior Software engineer @Cisco Systems2022 ~ Present
・
DeepLearning Engineer
Within one month
on the cutting-edge of robotics, machine learning, software engineering, and mechanical engineering. Learn more Robotics SoftwareND Master advanced robotics software engineering skills, and gain hands-on experience developing solutions that solve challenging robotics and AI problems. Learn more Certificates Continue to pursue online courses to solve a variety of different issues. Fundamentals of Deep Learning for Computer Vision Links Neural Networks and Deep Learning Links Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Links Structuring Machine Learning Projects Links Convolutional Neural Networks Links Python3 for Data Science Links HTML, CSS, Javascript, jQuery,php, mySQL Links
Employed
Full-time / Interested in working remotely
4-6 years
R.O.C. Naval Academy
・
Electrical EngineeringThe Most Lightweight and Effective Recruiting Plan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
More than one year
Ph.D. candidate in Geophysics
Georgia Institute of Technology | The University of British Columbia
・
2014 ~ 2019
Professional Background
Current status
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
2-4 years work experience (6-10 years relevant)
Management
I've had experience in managing 5-10 people
Skills
Languages
English
・
Fluent
Chinese
・
Native or Bilingual
Job search preferences
Positions
PHD Student
Job types
Intern
Locations
Remote
Interested in working remotely
Freelance
No
Educations
School
The University of British Columbia
Major
M.S. in Geophysics
Publication
Journal paper
Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking
SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza
Nature communications 11 (1), 1-12
Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap
L Chuang, M Bostock, A Wech, A Plourde
Geology 45 (7), 647-650
Magnitudes and moment - duration scaling of low frequency earthquakes beneath southern Vancouver Island
MG Bostock, AM Thomas, G Savard, L Chuang, AM Rubin
Journal of Geophysical Research: Solid Earth 120 (9), 6329-6350
Ambient tremors in a collisional orogenic belt.
LY Chuang, KH Chen, A Wech, T Byrne, W Peng
Geophysical Research Letters 41 (5), 1485-1491
Conference presentation
A Deep Convolutional Neural Network Model for Earthquake Phase Picking in Taiwan
Dec 12, 2019 2019 AGU meeting
Tremor or train? An attempt to discern tremor and noise using a deep convolutional neural network
Sep 8, 2019 2019 SCEC meeting
A Machine Learning Approach to Identify Landslides With Seismic Waves Using Support Vector Machine Method
Apr 24, 2019 2019 SSA meeting
Award and honor
Best Student Presentation Award
Nov 2020 Eastern-Section Seismological Society of America
Best student presentation award for research titled “Foreshock and aftershocks sequence of the M5.1 Sparta Earthquake in North Carolina”
Work Experience
Teaching Assistant • Georgia Institute of Technology | The University of British Columbia
August 2014 - December 2019
EAS 2600 - Earth system process (Aug. 2019 - Dec. 2019)
EOSC 354 Analysis of Time Series and Inverse Theory for Earth Scientists (Sep. 2014 - Dec. 2014)
EOSC 353 - Seismology (Jan. 2015 - Apr. 2015)
Research Assistant • Institute of Oceanography, National Taiwan University
August 2012 - July 2014
1. Responsible for creating and organizing multiple seismic database
2. Performed quality control on seismic data.
3. Mentored master’s and undergrads with geophysical and geological thesis projects.
4. Selected and purchased hardware and software to build a new computer center for geophysical research at the Institution of Oceanography in National Taiwan University.
5. Main system administrator that solved Linux server problems.
6. Assist the department with academic events, and organized summer student research programs.
Student Teacher • Taipei Municipal Song-Shan Senior High School
January 2010 - July 2010
Teach grade 10+ level earth sciences
Education
2014 - 2018
The University of British Columbia
M.S. in Geophysics
2010 - 2012
National Taiwan Normal University
M.S. in Earth Sciences
2004 - 2009
National Taiwan Normal University
B. S. in Earth Sciences
Minor in Science Education
Service
November 2019 - present
Vice president
SEG student chapter of Georgia Tech
Hosted events:
1. Sharing the internship experiences (Nov. 2019)
2. Seminar talk with title:A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. (Feb. 2020)
Development tools
Data science tools
Front-end tools
Languages
- Python
- Julia
- Jupyter notebook
- Linux bash shell
- Github
- Azure
- AWS
- GCP
- Tensorflow and Keras
- Sciki-learn
- Spark
- Pandas
- Obspy
- SQLite
- MongoDB
- D3.js
- DC.js
- Plotly
- Tableau
- Flask
- Leaflet
- Mapbox
- GMT
- English — Fluent
- Chinese — Native or Bilingual
Publication
Journal paper
Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking
SM Mousavi, WL Ellsworth, W Zhu, LY Chuang, GC Beroza
Nature communications 11 (1), 1-12
Plateau subduction, intraslab seismicity, and the Denali (Alaska) volcanic gap
L Chuang, M Bostock, A Wech, A Plourde
Geology 45 (7), 647-650
Magnitudes and moment - duration scaling of low frequency earthquakes beneath southern Vancouver Island
MG Bostock, AM Thomas, G Savard, L Chuang, AM Rubin
Journal of Geophysical Research: Solid Earth 120 (9), 6329-6350
Ambient tremors in a collisional orogenic belt.
LY Chuang, KH Chen, A Wech, T Byrne, W Peng
Geophysical Research Letters 41 (5), 1485-1491
Conference presentation
A Deep Convolutional Neural Network Model for Earthquake Phase Picking in Taiwan
Dec 12, 2019 2019 AGU meeting
Tremor or train? An attempt to discern tremor and noise using a deep convolutional neural network
Sep 8, 2019 2019 SCEC meeting
A Machine Learning Approach to Identify Landslides With Seismic Waves Using Support Vector Machine Method
Apr 24, 2019 2019 SSA meeting
Award and honor
Best Student Presentation Award
Nov 2020 Eastern-Section Seismological Society of America
Best student presentation award for research titled “Foreshock and aftershocks sequence of the M5.1 Sparta Earthquake in North Carolina”
Work Experience
Teaching Assistant • Georgia Institute of Technology | The University of British Columbia
August 2014 - December 2019
EAS 2600 - Earth system process (Aug. 2019 - Dec. 2019)
EOSC 354 Analysis of Time Series and Inverse Theory for Earth Scientists (Sep. 2014 - Dec. 2014)
EOSC 353 - Seismology (Jan. 2015 - Apr. 2015)
Research Assistant • Institute of Oceanography, National Taiwan University
August 2012 - July 2014
1. Responsible for creating and organizing multiple seismic database
2. Performed quality control on seismic data.
3. Mentored master’s and undergrads with geophysical and geological thesis projects.
4. Selected and purchased hardware and software to build a new computer center for geophysical research at the Institution of Oceanography in National Taiwan University.
5. Main system administrator that solved Linux server problems.
6. Assist the department with academic events, and organized summer student research programs.
Student Teacher • Taipei Municipal Song-Shan Senior High School
January 2010 - July 2010
Teach grade 10+ level earth sciences
Education
2014 - 2018
The University of British Columbia
M.S. in Geophysics
2010 - 2012
National Taiwan Normal University
M.S. in Earth Sciences
2004 - 2009
National Taiwan Normal University
B. S. in Earth Sciences
Minor in Science Education
Service
November 2019 - present
Vice president
SEG student chapter of Georgia Tech
Hosted events:
1. Sharing the internship experiences (Nov. 2019)
2. Seminar talk with title:A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification. (Feb. 2020)
Development tools
Data science tools
Front-end tools
Languages
- Python
- Julia
- Jupyter notebook
- Linux bash shell
- Github
- Azure
- AWS
- GCP
- Tensorflow and Keras
- Sciki-learn
- Spark
- Pandas
- Obspy
- SQLite
- MongoDB
- D3.js
- DC.js
- Plotly
- Tableau
- Flask
- Leaflet
- Mapbox
- GMT
- English — Fluent
- Chinese — Native or Bilingual