David Zaretsky : Faculty Experts
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David Zaretsky
Field:
Artificial Intelligence, Computer Science, Electrical Engineering, Innovation and Entrepreneurship
Focus Areas:
Content Marketing, Data Science, Digital Media, Entrepreneurship, Higher Ed Administration, Influence and Persuasion, Machine Learning and Automation, Marketing Strategy, Social Media, Social Networks, Technology Companies
Contact:
Media Relations Contact:
Amanda Morris
Farley Center for Entrepreneurship and Innovation, McCormick School of Engineering, The Graduate School
Assistant Chair, Associate Professor of Electrical & Computer Engineering
About
Areas of Focus
-
VLSI / Electronic design automation
-
High-performance computing
- Artificial intelligence (AI)
- Computer vision
- Signal processing
- Data analytics
Work/Research
In the department of electrical and computing engineering, I teach a series of classes in digital design and high-performance computing, which touch on different areas of artificial intelligence, computer vision, signal processing and more.
At the Farley Center for Entrepreneurship, I teach a class called NUvention AI, in which students build startups focusing on AI, IoT and Data Analytics.
In my professional career, I have worked in many industries, including: semiconductors, aerospace & defense, financial trading, artificial intelligence, and influencer marketing (adtech / martech).
Career
David is an accomplished entrepreneur, engineer, researcher, and published author with over 15 years of hands-on professional and academic technological expertise in the fields of artificial intelligence, data analytics, high-performance computing, and electronic design automation. He has been involved with creation of multiple technology startup companies, and has worked in various areas of industry including semiconductors, aerospace & defense, high-frequency trading, adtech/martech, and artificial intelligence. Most recently, David co-founded Snips Media, where he currently serves as CEO and Chief Scientist. Snips is the first performance-driven influencer network and platform that accurately measures performance with influencers, from social engagements through online sales across hundreds of retailers automatically. The platform is currently used by and integrated with some of the world’s top brands and agencies. David received dual B.S. degrees in Electrical Engineering and Computer Engineering from Northwestern University in 2000, and received Ph.D. in Electrical and Computer Engineering from Northwestern University in 2005. He has authored 15 conference and journal publications in the research areas of high-performance computing and electronic design automation.