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Vicky Wang Email & Phone Number
Research Fellow
at
Auckland Bioengineering Institute
1 work email found
@auckland.ac.nz
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Current company
Role
Research Fellow
Location
Auckland, New Zealand
Who is Vicky Wang? Overview
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Quick answer
Vicky Wang is listed as Research Fellow at Auckland Bioengineering Institute, based in Auckland, New Zealand. AeroLeads shows a work email signal at auckland.ac.nz and a matched LinkedIn profile for Vicky Wang.
Vicky Wang previously worked as National Heart Foundation Research Fellow at Auckland Bioengineering Institute and Research Scientist at Stanford University. Vicky Wang holds Doctor Of Philosophy (Phd), Biomedical/Medical Engineering from University Of Auckland.
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Email format at Auckland Bioengineering Institute
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{first}.{last}@auckland.ac.nz
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Profile bio
About Vicky Wang
Skilled in Soft Tissue Mechanics, Finite Element Analysis, Computational Modeling, Medical Image Analysis (Cardiovascular imaging), Patient-specific modeling of heart anatomy and function, Mathematical Modeling.
Listed skills include Cardiovascular Image Analysis, Biomechanics, Python, Computational Modeling, and 6 others.
Current workplace
Vicky Wang's current company
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9 roles
Vicky Wang work experience
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Research Fellow
National Heart Foundation Research Fellow
Auckland Bioengineering Institute
Developed patient-specific echocardiographic image analysis pipeline to estimate cardiac muscle mechanical properties, a novel biomarker for better diagnosis, categorization of heart failure.
Oct 2016 - Feb 2024
Research Fellow
Auckland Bioengineering Institute
- Developed a prototype computational modeling framework of the heart for RICORDO. a sub-project within the European Commission's Virtual Physiological Human (VPH) project focused on improving the sharing and reuse of physiological models and data. - Investigated mechanisms underpinning heart failure with preserved ejection (HFpEF) and heart failure with reduced ejection fraction (HFrEF).
Jul 2012 - Sep 2016
Research Scientist
Oct 2020 - Feb 2024
Research Scholar
San Francisco Veterans Affairs Medical Center
Examining the effectiveness of existing therapies for Ischemic Mitral Regurgitation (IMR) using in computer models of the left ventricle and mitral apparatus.
Oct 2017 - Oct 2020
Research Scholar
San Francisco Veterans Affairs Medical Center
Research scholar at Cardiac Mechanics Laboratory, San Francisco VA Medical Center.
Oct 2017 - Sep 2020
Teaching Assistance
Mar 2008 - Jun 2013
Research Assistant
Jul 2011 - Feb 2012
2 education records
Vicky Wang education
Doctor Of Philosophy (Phd), Biomedical/Medical Engineering
Bachelor Of Engineering (Beng), Biomedical/Medical Engineering
FAQ
Frequently asked questions about Vicky Wang
Quick answers generated from the profile data available on this page.
What company does Vicky Wang work for?
Vicky Wang works for Auckland Bioengineering Institute.
What is Vicky Wang's role at Auckland Bioengineering Institute?
Vicky Wang is listed as Research Fellow at Auckland Bioengineering Institute.
What is Vicky Wang's email address?
AeroLeads has found 1 work email signal at @auckland.ac.nz for Vicky Wang at Auckland Bioengineering Institute.
Where is Vicky Wang based?
Vicky Wang is based in Auckland, New Zealand while working with Auckland Bioengineering Institute.
What companies has Vicky Wang worked for?
Vicky Wang has worked for Auckland Bioengineering Institute, Stanford University, San Francisco Veterans Affairs Medical Center, and The University Of Auckland.
How can I contact Vicky Wang?
You can use AeroLeads to view verified contact signals for Vicky Wang at Auckland Bioengineering Institute, including work email, phone, and LinkedIn data when available.
What schools did Vicky Wang attend?
Vicky Wang holds Doctor Of Philosophy (Phd), Biomedical/Medical Engineering from University Of Auckland.
What skills is Vicky Wang known for?
Vicky Wang is listed with skills including Cardiovascular Image Analysis, Biomechanics, Python, Computational Modeling, Clinical Research Experience, Model Based Image Analysis, Matlab, and R.
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