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工業設計師|特助|PM @亞圖斯科技工作室
2020 ~ 2022
Senior Industrial Designer
Within one month
Alias
Creo Parametric
Keyshot
Employed
Full-time / Interested in working remotely
4-6 years
樹德科技大學
工業設計
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Avatar of Shane Hadaller.
Shane Hadaller Business in Alaska @Shane Hadaller Business Management company
2005 ~ Present
Business management
More than one year
Shane Hadaller Shane Hadaller Business expert in Alaska who is an inventor who starts from scratch and invests his time, energy and money in search of a different idea in the business world Shane Hadaller Most men choose to be in business for profit, whether to make a living, achieve their financial goals, or become their own boss. Alaska, USA https://medium.com/@shanehadaller Work Experience Shane Hadaller Business Leader in Alaska Shane Hadaller The business leader is one who has the ability to get the most out of all his employees, knowing how
Business Development
Business Strategy
Business Analysis
Employed
Part-time / Interested in working remotely
6-10 years
University of Alaska Fairbanks
Business Administration
Avatar of Alison Bauer.
Avatar of Alison Bauer.
Member Service Team Lead @Sam's Club
2011 ~ Present
More than one year
Alison Bauer Hello! I am looking to obtain a career in a fast-paced, growing business with advancement opportunities. I bring in a sense of team work, organization and honesty. I have 20 years of retail experience, so I have learned how to deal with every type of customer. I also have 6 years of cash office experience. United States Work Experience Member Service Team Lead • Sam's Club MarchPresent Maintain communication between managers and associates. Assist members with their purchases. Prepare deposits in the business office. Assist in interviews, conduct orientations.
Microsoft Office
Microsoft Word
Microsoft Excel
Employed
Full-time / Not interested in working remotely
More than 15 years
Elizabethtown Community and Technical College
Business Administation/Accounting
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Teaching Assistant @Georgia Institute of Technology | The University of British Columbia
2014 ~ 2019
PHD Student
More than one year
Machine Learning
Python
Deep learning with TensorFlow
Intern / Interested in working remotely
6-10 years
The University of British Columbia
M.S. in Geophysics

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Leadership
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More than one year
Ph.D. candidate in Geophysics
Georgia Institute of Technology | The University of British Columbia
2014 ~ 2019
Atlanta, GA, USA
Professional Background
Current status
Job Search Progress
Professions
Data Scientist
Fields of Employment
Work experience
2-4 years work experience (6-10 years relevant)
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I've had experience in managing 5-10 people
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Machine Learning
Python
Deep learning with TensorFlow
MySQL
Spark
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Plotly
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Azure
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Interested in working remotely
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Educations
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The University of British Columbia
Major
M.S. in Geophysics
Print

Lindsay Yuling Chuang

I am a Ph.D. candidate of Geophysics at Georgia Tech. My research mainly focus on using various machine learning and deep learning algorithms to solve different seismological problems. I am a data enthusiastic with 10+ years full stack developing experiences.

  Atlanta, GA, USA         


Publication

Journal paper

Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking

publication dat

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

publication dateL 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

publication date

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.

publication date

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

publication dateDec 12, 2019  publication description2019 AGU meeting


Tremor or train? An attempt to discern tremor and noise using a deep convolutional neural network

publication dateSep 8, 2019  publication description2019 SCEC meeting


A Machine Learning Approach to Identify Landslides With Seismic Waves Using Support Vector Machine Method

publication dateApr 24, 2019  publication description2019 SSA meeting


Award and honor

Best Student Presentation Award

honor dateNov 2020  honor issuerEastern-Section Seismological Society of America

honor descriptionBest 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
Resume
Profile

Lindsay Yuling Chuang

I am a Ph.D. candidate of Geophysics at Georgia Tech. My research mainly focus on using various machine learning and deep learning algorithms to solve different seismological problems. I am a data enthusiastic with 10+ years full stack developing experiences.

  Atlanta, GA, USA         


Publication

Journal paper

Earthquake transformer - an attentive deep-learning model for simultaneous earthquake detection and phase picking

publication dat

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

publication dateL 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

publication date

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.

publication date

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

publication dateDec 12, 2019  publication description2019 AGU meeting


Tremor or train? An attempt to discern tremor and noise using a deep convolutional neural network

publication dateSep 8, 2019  publication description2019 SCEC meeting


A Machine Learning Approach to Identify Landslides With Seismic Waves Using Support Vector Machine Method

publication dateApr 24, 2019  publication description2019 SSA meeting


Award and honor

Best Student Presentation Award

honor dateNov 2020  honor issuerEastern-Section Seismological Society of America

honor descriptionBest 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