David White Email & Phone Number

San Jose, CA, US

Mountain View, CA, US

Executive product leader at Google DeepMind delivering conversational AI solutions to enhance user productivity and increase engagement with our Gemini (LLM) technology. Product scope for the Speech team includes speech recognition and natural, human-like voices for Google partners: Gemini Live, Astra, Search, Maps, Cloud, Workspace and You Tube that have.

Mountain View, CA, US

Led product management teams for AdSense, GameSnacks (content syndication), Ad Connector and Funding Choices, a cohesive portfolio of industry leading ads solutions for publishers. Responsible for revenue (P&L) and bringing innovative monetization solutions to market that broaden demand and provide new inventory for a global publisher base.

San Jose, California, US

Managed teams in the development of a new enterprise design platform. The software leverages AI to automate the manual parts of the physical design process to improve TAT and reduce costs. The technology combines novel approaches in deep learning, analytics and optimization in the automatic creation of new package and board designs.Led the DARPA MAGESTIC.

San Jose, California, US

• Responsibilities:Managed the Virtuoso Electrically Aware Design (EAD) product, now part of the EXL platform. EAD leverages innovations in data analytics, machine learning and advanced algorithms to provide in-design.
• Led a collaborative effort from initial proposal stages, creating partnerships through securing funding ($25M) and launching of one of the largest machine learning and deep learning R&D programs targeted at improving.
• Created initial business plan, managed product development and launch of Virtuoso EAD. Initial customers report reduction in TAT by 30% and product used by over 30 top companies.
• Co-invented, co-architected, and patented the electrically aware custom design flow, including in-design parasitic aware simulation and machine learning based parasitic extraction in industry leading Virtuoso custom.
• Virtuoso EAD won the CDNS Enterprise Innovation Product Award for 2013 and was a finalist for 2013 Elektra Award for Product Innovation.

San Jose, California, US

• Responsibilities:Managed R&D development and architected a new extraction product that uses machine learning. Led business development in securing early adoption customers and partners. Transitioned Praesagus customer.
• Managed successful release into production at one of our largest customers
• Co-invented and architected extraction and electrical verification flows with 12 patents issued
• Created six year business collaboration with one of the five largest companies in the US
• Closed one of the largest sales for DFM software with one of our largest customers
• Led successful acquisition of DFM company, their product is a critical part of DFM product suite

US

• Responsibilities:Managed product strategy and initial development of electronic design automation (EDA) software, as well as early adopter customer engagements. Corporate duties included fundraising, establishing.
• Co-invented the core technology (10 patents issued) that uses modeling to predict chip profile variation to within 10% (reported in 2003 publication by Texas Instruments)
• Managed successful initial beta engagement, customer validation process and closed first commercial software deal with a top 5 semiconductor company
• Managed successful early adopter engagement leading to sale with Fortune 100 company.
• Co-managed M&A process and due diligence with CDNS resulting in a successful acquisition

Responsibilities:Incorporated and co-founded Infolenz, an enterprise analytics software company focused on personalization, on-line market segmentation and recommendation systems solutions for data-driven e-commerce. InfoLenz created one of the first behavioral targeting solutions for internet based B2C and B2B sales and behavioral marketing segmentation..

Responsibilities:Led business development, marketing and partnership creation with government and commercial customer base. Managed R&D projects related to the use of innovative machine learning (neural network) and statistical data analytics (PCA, factor analysis) for intelligent control and optimization solutions. Applications of our solutions included.

Cambridge, MA, US

Collaborated with research teams under Professors Chris Atkeson and Michael Jordan in development of machine learning and statistical modeling and control algorithms. While at the AI Lab, Dave co-authored and edited the Handbook of Intelligent Control that described our research and included some of the pioneers in early machine learning such as Michael.

Arlington, VA, US

Led machine learning R&D projects at the McDonnell New Aircraft Products Division. Completed a learning control system for thermoplastic composite manufacturing process. Also worked on control and avionics related projects for the F-15 and F-18 NA aircraft. Articles on work appeared in media: Air Force Signal Magazine and the St. Louis Post-Dispatch.

Sc.D., Doctor Of Science, Electrical Engineering And Computer Science, Minor In Business At Sloan

Master Of Science (M.Sc.), Electrical Engineering And Computer Science

Bachelor Of Science (B.S.), Electrical Engineering