Sharon Wan Email & Phone Number
Who is Sharon Wan? Overview
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Sharon Wan is listed as Founding Scientist at EyeCloud, a company with 8 employees, based in Saratoga, California, United States. AeroLeads shows a matched LinkedIn profile for Sharon Wan.
Sharon Wan previously worked as Cofounder and Head of Analytics at Sail Internet and Principal Research Scientist at Microsoft. Sharon Wan holds Ph.D., Electrical Engineering from University Of Southern California.
Email format at EyeCloud
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About Sharon Wan
Sharon Wan is a Founding Scientist at EyeCloud. She possess expertise in algorithms, machine learning, big data, hadoop, data mining and 32 more skills.
Listed skills include Algorithms, Machine Learning, Big Data, Hadoop, and 33 others.
Sharon Wan's current company
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Sharon Wan work experience
A career timeline built from the work history available for this profile.
Cofounder And Head Of Analytics
Principal Research Scientist
Sr. Software Manager/Principal Architect
Sr. Software Engineer
Sr. Dsp Engineer
Sr. Scientist, Research Lab
Sharon Wan education
Ph.D., Electrical Engineering
Ms, Electrical Engineering
Bs, Electrical Engineering
Frequently asked questions about Sharon Wan
Quick answers generated from the profile data available on this page.
What company does Sharon Wan work for?
Sharon Wan works for EyeCloud.
What is Sharon Wan's role at EyeCloud?
Sharon Wan is listed as Founding Scientist at EyeCloud.
Where is Sharon Wan based?
Sharon Wan is based in Saratoga, California, United States while working with EyeCloud.
What companies has Sharon Wan worked for?
Sharon Wan has worked for Eyecloud, Sail Internet, Microsoft, Yahoo!, and Kla-Tencor.
How can I contact Sharon Wan?
You can use AeroLeads to view verified contact signals for Sharon Wan at EyeCloud, including work email, phone, and LinkedIn data when available.
What schools did Sharon Wan attend?
Sharon Wan holds Ph.D., Electrical Engineering from University Of Southern California.
What skills is Sharon Wan known for?
Sharon Wan is listed with skills including Algorithms, Machine Learning, Big Data, Hadoop, Data Mining, Artificial Intelligence, Distributed Systems, and Product Management.
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