Li Ang Zhang Email & Phone Number
@rand.org
LinkedIn matched
Who is Li Ang Zhang? Overview
A concise factual answer block for searchers comparing this professional profile.
Li Ang Zhang is listed as Information Scientist at RAND Corporation, a company with 2417 employees, based in Santa Monica, California, United States. AeroLeads shows a work email signal at rand.org and a matched LinkedIn profile for Li Ang Zhang.
Li Ang Zhang previously worked as Associate Information Scientist at Rand Corporation and Associate Engineer at Rand Corporation. Li Ang Zhang holds Doctor Of Philosophy (Ph.D.), Chemical Engineering from University Of Pittsburgh.
Email format at RAND Corporation
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AeroLeads found 1 current-domain work email signal for Li Ang Zhang. Compare company email patterns before reaching out.
About Li Ang Zhang
Applying modeling concepts to solve policy issues related to artificial intelligence for the military.Doctoral dissertation focused on developing a model-based approach towards improving sepsis care.
Listed skills include Python, Matlab, R, Research, and 5 others.
Li Ang Zhang's current company
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Li Ang Zhang work experience
A career timeline built from the work history available for this profile.
Associate Information Scientist
Associate Engineer
Graduate Student Researcher
Developing predictive mathematical models of sepsis for the purposes of discovering disease endotypes, generating risk and mortality, and applying control. Focused on baboon, porcine, and human models of sepsis.
Colleagues at RAND Corporation
Other employees you can reach at rand.org. View company contacts for 2417 employees →
Augustine Bravo
Colleague at Rand Corporation
Pittsburgh, Pennsylvania, United States, United States
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Velma Vigil
Colleague at Rand Corporation
Inglewood, California, United States, United States
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SC
Sean Colbert-Kelly, Ph.D.
Colleague at Rand Corporation
Clinton, Maryland, United States, United States
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AK
Avery Krovetz
Colleague at Rand Corporation
Los Angeles, California, United States, United States
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JM
James Murphy
Colleague at Rand Corporation
Los Angeles, California, United States, United States
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TD
Tim Deen
Colleague at Rand Corporation
Dallas, Texas, United States, United States
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DL
David Lawrence
Colleague at Rand Corporation
Garden Grove, California, United States, United States
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JY
Jackson Yaw Afreh
Colleague at Rand Corporation
Accra, Greater Accra Region, Ghana, Ghana
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NN
Nitin Nitin
Colleague at Rand Corporation
Delhi, India, India
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AO
Allison Ober
Colleague at Rand Corporation
Boca Raton, Florida, United States, United States
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Li Ang Zhang education
Doctor Of Philosophy (Ph.D.), Chemical Engineering
Bachelor’S Degree, Chemical Engineering And Biomedical Engineering, 3.62
Frequently asked questions about Li Ang Zhang
Quick answers generated from the profile data available on this page.
What company does Li Ang Zhang work for?
Li Ang Zhang works for RAND Corporation.
What is Li Ang Zhang's role at RAND Corporation?
Li Ang Zhang is listed as Information Scientist at RAND Corporation.
What is Li Ang Zhang's email address?
AeroLeads has found 1 work email signal at @rand.org for Li Ang Zhang at RAND Corporation.
Where is Li Ang Zhang based?
Li Ang Zhang is based in Santa Monica, California, United States while working with RAND Corporation.
What companies has Li Ang Zhang worked for?
Li Ang Zhang has worked for Rand Corporation and University Of Pittsburgh.
Who are Li Ang Zhang's colleagues at RAND Corporation?
Li Ang Zhang's colleagues at RAND Corporation include Augustine Bravo, Velma Vigil, Sean Colbert-Kelly, Ph.D., Avery Krovetz, and James Murphy.
How can I contact Li Ang Zhang?
You can use AeroLeads to view verified contact signals for Li Ang Zhang at RAND Corporation, including work email, phone, and LinkedIn data when available.
What schools did Li Ang Zhang attend?
Li Ang Zhang holds Doctor Of Philosophy (Ph.D.), Chemical Engineering from University Of Pittsburgh.
What skills is Li Ang Zhang known for?
Li Ang Zhang is listed with skills including Python, Matlab, R, Research, Mathematical Modeling, Machine Learning, Statistical Modeling, and Predictive Modeling.
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