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Mu He Email & Phone Number

Senior Staff Scientist at SAS
Location: Durham, North Carolina, United States 5 work roles 3 schools
1 work email found @sas.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@sas.com
LinkedIn Profile matched
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Current company
SAS
Role
Senior Staff Scientist
Location
Durham, North Carolina, United States

Who is Mu He? Overview

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Quick answer

Mu He is listed as Senior Staff Scientist at SAS, based in Durham, North Carolina, United States. AeroLeads shows a work email signal at sas.com and a matched LinkedIn profile for Mu He.

Mu He previously worked as Staff Scientist at Sas and Professional Research Associate at University Of Virginia School Of Medicine. Mu He holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering from Duke University.

Company email context

Email format at SAS

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{first}.{last}@sas.com
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AeroLeads found 1 current-domain work email signal for Mu He. Compare company email patterns before reaching out.

Profile bio

About Mu He

Highly motivated computer vision engineer and professional developer with 6+ years of experience and 50+ achievements in clinical lung MR imaging, pulmonary disease phenotyping, big data analysis, machine learning, computer vision, and clinical trial coordination. Strong research professional with a Doctor of Philosophy (Ph.D.) focused in Electrical engineering and Biomedical Engineering from Duke University.

Listed skills include Matlab, 3D Slicer, Java, Python, and 8 others.

Current workplace

Mu He's current company

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SAS
Sas
Senior Staff Scientist
AeroLeads page
5 roles

Mu He work experience

A career timeline built from the work history available for this profile.

Senior Staff Scientist

Current
Sas

Cary, Nc, Us

Mar 2024 - Present

Staff Scientist

Sas

Cary, Nc, Us

Aug 2021 - Mar 2024

Professional Research Associate

Charlottesville, Va, Us

- Developed multi-modality (MRI and CT) image quantification pipelines with automated multi-modality registration, supervised deep-learning-based 3D lung segmentation (Python, Keras, TensorFlow), atlas-based lobe segmentation, and statistical classification. Significantly reduced the quantification time and improved the accuracy. - Assessed regional pulmonary abnormalities in patients with COPD, asthma, and fibrosis with these novel pipelines. - Conducted clinical lung MRI acquisition, quantification, analyses, and reporting. - Collaborated with physicians, radiologists, scientists, and biostatisticians on designing and assessing comprehensive image analysis strategies. - Cooperated in multi-center lung imaging clinical trials to achieve critical clinical trial milestones: Served as the co-principle investigator for two lung imaging clinical trials. - Collaborated with three imaging centers in study design, MR sequence determination, and data management of HXeMRI clinical trials.

Jul 2019 - Aug 2021

Research Assistant

Durham, North Carolina, Us

- Highly experienced in hyperpolarized gas preparation, MRI acquisition, quantification, data management, analysis, and reporting.- Developed a semi-automatic hyperpolarized Xenon MRI ventilation analysis workflow with automated registration, UNet-based lung segmentation, and statistical classification.- Developed and optimized MR pulse sequences for improved SNR and throughput to enable lung MRI capability across multiple MR platforms (GE 1.5T and SIEMENS 3T). - Developed perfusion MRI quantification workflows: Developed robust perfusion analysis workflows to correlate with 129Xe dissolved phase imaging, which illustrated the mechanism of pulmonary gas exchange.- Instituted HXeMRI clinical protocol: Established hyperpolarized lung MRI clinical protocol for optimized quantification, analyses, and reporting. - Coordinated multi-center collaboration: Cooperated with four imaging centers around the world to standardize quantification methods.

Jun 2012 - Jun 2019

Research Assistant

Beijing, Cn

- Built 2-and-8-channel RF coils for small animals and humans for routine studies.- Contributed to the dual-frequency NMR surface coil development.

Aug 2009 - May 2011
3 education records

Mu He education

Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering

Duke University

Master Of Science (Ms), Electrical And Electronics Engineering

Duke University

Bachelor Of Science - Bs, Electrical And Electronics Engineering

Tongji University
FAQ

Frequently asked questions about Mu He

Quick answers generated from the profile data available on this page.

What company does Mu He work for?

Mu He works for SAS.

What is Mu He's role at SAS?

Mu He is listed as Senior Staff Scientist at SAS.

What is Mu He's email address?

AeroLeads has found 1 work email signal at @sas.com for Mu He at SAS.

Where is Mu He based?

Mu He is based in Durham, North Carolina, United States while working with SAS.

What companies has Mu He worked for?

Mu He has worked for Sas, University Of Virginia School Of Medicine, Duke University Medical Center, and Chinese Academy Of Sciences.

How can I contact Mu He?

You can use AeroLeads to view verified contact signals for Mu He at SAS, including work email, phone, and LinkedIn data when available.

What schools did Mu He attend?

Mu He holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering from Duke University.

What skills is Mu He known for?

Mu He is listed with skills including Matlab, 3D Slicer, Java, Python, Imagej, Indesign, Avizo, and Mri.

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