Chris Cunningham Email and Phone Number
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• Data, AI, & technology leader who builds impactful products and services.• Knowledgeable in AI & machine learning, data engineering, software development, IoT, & embedded systems.• Proficient at leading teams and development at a deeply technical level or an executive level.• Top-notch engineering experience and education (MIT & Stanford).• Experienced in a variety of industries including healthcare and digital communications.• Continuously improving technical skills. Will step-in as an individual contributor to ensure success.• More than a decade of experience successfully leading teams that are remote, hybrid, and on-site.
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Head Of Data, Allergan Data LabsAbbvie 2023 - PresentNorth Chicago, Illinois, UsLead an organization focusing on AI, machine learning (ML), data engineering, ML engineering, data science, data governance, data product, product analytics, and strategy for data.• Quadrupled the size of the team in less than one year.• The team builds data products including generative AI, ML models, and curated static data assets.• Our data products enable and support diverse applications including consumer apps, business customer portals, sales CRMs, marketing campaigns, internal analysts, process optimizations, etc.• The team also builds and maintains a data technology platform to facilitate storage, processing, sensitive data protection, data observability, etc. for our own data products and other organizations.• The team also initiated and continues to administer the division-wide data governance program. -
Advisory Board MemberHealthcorum 2021 - 2024Boston, Ma, UsHealthCorum optimizes the value of healthcare delivery. The platform's rule-sets and AI-based benchmarks allow for evaluating and optimizing provider networks. I provided advice and guidance to the executive team with a focus on development of AI, machine learning, and technology solutions. -
Executive Director, Data Science & EngineeringPear Therapeutics 2021 - 2023Pear Therapeutics developed and delivered FDA-cleared Prescription Digital Therapeutics (PDTs) for drug addiction and chronic insomnia. After going public in 2021 with valuation ~$1.6B, Pear ran out of funding in 2023 while trying to pioneer prescription & payment models in the fledgling PDT industry. My role included the following:• Headed transformation of Pear's data resources for scale, advanced analytics, and machine learning.• Managed data engineering and data science teams. Recruit and cultivate talent skilled in data.• Provided critical technical direction and wrote some code along with leadership responsibilities.• Led Pear's Center of Excellence (CoE) for Data, Machine Learning, & Analytics, which pursued solutions for data governance, MDM, cataloging, analytical tooling, third party data sources, etc.(additionally held title of Senior Director, Data Engineering)
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Self-Employed ConsultantCintelex 2020 - 2021Provide technology development & consulting services for clients in AI & machine learning, IoT, software, big data, & communications. Work with clients to design architecture, write code, and advise on business strategy. -
Vp, Data Science & AnalyticsBest Buy Health 2018 - 2020Boston, Massachusetts, UsBest Buy acquired GreatCall (my previous employer) for $800M as the foundation of Best Buy Health to innovate in the delivery of healthcare. My role included the following:• Led the AI, Machine Learning, & Data Science team. This team enabled data-driven products in coordination with product teams, and it devised business optimizations enabled by AI and machine learning. The team applied Natural Language Processing (NLP), time series analysis, classical machine learning methods, and other algorithms. • Led a cross-functional task force to resolve technology-related issues.• Delivered presentations to customers and employees on applications of AI and machine learning.• Advised legal team on intellectual property, M&A, data governance, and contractual issues around data. Played a key role in the acquisition of technology and talent from BioSensics. -
Vp, Data Science & AnalyticsGreatcall 2016 - 2018San Diego, California, UsGreatCall provided nation-wide cellular and emergency response services to ~1M consumers. They expanded their offering to include health and wellness monitoring by acquiring my previous employer (Healthsense). My role included the following:• Established the AI, Machine Learning, & Data Science team, the company's first group dedicated to applying modern AI and machine learning. Recruited talent, adopted tools, created processes, coordinated data flows and DevOps, expanded data collection, advocated for AI/ML, devised applications with product and operations people, and executed projects to leverage data.• Continued to provide technical guidance concurrently with leadership responsibilities. Occasionally performed technical analyses, developed algorithms, and wrote code.• Temporarily oversaw all cross-functional technical aspects of the company’s B2B business.• Helped to guide architectural decisions regarding data flows, storage, IoT, and embedded code.• Supported legal team for M&A and intellectual property. Heavily involved with technical due diligence for Best Buy’s acquisition of GreatCall. Served on the patent committee.(additionally held title of Director, Data Science & Analytics) -
Chief Architect, Data Science & EngineeringHealthsense 2014 - 2016Mendota Heights, Minnesota, UsHealthsense was a startup that applied technology to predict the onset of adverse conditions related to the health and wellness of seniors. Wireless sensors measured personal behaviors, environmental conditions, biological signals, and other aspects of daily living. This information was analyzed by automated algorithms to gain actionable insight into emerging health conditions. Clinical staff and case workers were alerted to intervene when appropriate. My role included the following:• Involved with all system design decisions including algorithms, data science, IoT, software architecture, data flows, customer interfaces, and product features.• Wrote extensive software implementing the product. This included mathematical algorithms, real-time data flows, business logic, and user interfaces.• Researched machine learning approaches to assessing health risk from sensor data.• Oversaw a small team of software developers who coordinated with clinical experts and DevOps/IT. The team worked remotely from distributed locations across the country.• Investigated next generation hardware for sensors and communication hubs.(additionally held title of Senior Software Engineer) -
Vp Of Engineering, Communications TechnologiesAware, Inc. 2013 - 2014Burlington, Massachusetts, UsDuring this time, Aware’s communications technology division exclusively focused on the products that I helped spearhead, which optimized and made predictions for communication networks. I was head of engineering for this division. We automated measurements from broadband devices (consumer modems, central office equipment, and mobile test equipment), aggregated big data, and applied sophisticated algorithms. This allowed providers to maximize the customer reach, improve service quality, and minimize operational costs. My role included the following:• Oversaw the engineering organization consisting of small teams of software engineers, algorithm/data scientists, QA, IT, and field engineers.• Deeply involved with high-level architecture and day-to-day technical issues. Continued to do technical analyses, write code, and facilitate deployments to ensure success.• Instrumental in winning contracts with international data communications companies.• Helped execute intellectual property protection strategy by generating patents, investigating patent infringement, and implementing proprietary protection mechanisms. -
Senior Director, Algorithms And SoftwareAware, Inc. 2003 - 2013Burlington, Massachusetts, UsHelped spearhead a product development effort at Aware that went from exploratory R&D with virtually no revenue to a wide product line generating annual revenues in the millions. This new product category involved diagnosing, optimizing, and making predictions to improve the health and profitability of broadband communication networks. My role included the following:• Led a team of PhD and Masters-level engineers and computer scientists to develop core algorithms, software, and embedded firmware. Routinely wrote production code, developed embedded data collection firmware, and devised critical algorithms concurrently with leadership responsibilities.• Researched and developed machine learning and signal processing algorithms, including detection and identification of physical faults and interferers, prediction of data rates for both real and hypothetical scenarios, and joint optimization of multiple interfering communication links.• Instituted Agile development methods (e.g., Scrum and XP), which significantly increased transparency of projects to customers and internal product teams. Tracked productivity/success metrics for all projects. Instituted processes for software source code control, project documentation, code reviews, bug/feature tracking, regression testing, routine performance testing, continuous integration, and test-driven development. Served as the company’s first scrum master.• Largely responsible for winning a recurring multi-million-dollar contract to be a supplier of diagnostics technology to Alcatel, the world’s largest DSL equipment manufacturer at the time.• Promoted our technologies to international standards bodies and world-wide customer base through presentations and publications. Helped author the international standard for single-ended line testing, which has been used throughout the world to characterize wired communication channels.(additionally held title of Director, Algorithms and Software) -
Principal EngineerAware, Inc. 1999 - 2003Burlington, Massachusetts, UsAware was seminal in developing broadband technologies such as DSL and Wi-Fi, eventually selling $90M+ in patents to Intel and other companies. My role included the following:• Generated novel intellectual property for digital communication systems based on adaptive signal processing and other mathematical algorithms. Contributed to innovations in multicarrier modulation, a foundation of modern cellular and Wi-Fi communications.• Solely architected and implemented the physical layer processing for an Intel DSL modem entirely in assembly language on a multi-core DSP board. Improved DSP hardware architecture to increase demodulator efficiency by a factor of two.• Developed embedded code implementing a mostly-software DSL modem for SigmaTel, including training algorithms and data pump. Simulated end-to-end performance in Matlab.• Wrote embedded DSP code and traveled worldwide to integrate with customers.(additionally held title of Senior Engineer) -
Senior EngineerStanford Telecommunications Inc 1996 - 1999• Member of a NASA team to integrate, test, and launch the Tropical Rainfall Measuring Mission satellite, which monitored global atmospheric conditions that shape climate.• Performed analyses and design reviews for the NASA Tracking and Data Relay Satellite and ground stations, which are used in NASA's Space Network to communicate with spacecraft.• Performed design analyses for the WorldSpace digital audio broadcast system, which provided radio service to under-served regions in Africa, India, and the Middle East.• Conducted educational seminars for NASA scientists and contract engineers on spread spectrum, satellite communications, Java programming, and other topics. -
EngineerDiversified Technologies, Inc. 1993 - 1995Bedford, Ma, Us• Developed software and embedded firmware to control robotics of a novel silicon wafer laser cutting, sorting, & packaging system for photovoltaic cells used in solar panels.• Participated in developing electrical and motor control systems for the Patriot high-performance hybrid race car for Chrysler, years before mainstream commercialization of electric vehicles. Utilized novel flywheel energy storage and an electric motor drivetrain.• Investigated three-dimensional ultrasound imaging technologies for medical diagnostics.• Participated in research of magnetic shielding to cloak ships from mines.• Helped devise initial design and develop proof-of-concept for a robot that detects and mitigates oil spills from ships. Formed a corporate subsidiary, helped raise funding, and patented the technology.
Chris Cunningham Skills
Chris Cunningham Education Details
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Massachusetts Institute Of TechnologyElectrical Science & Engineering -
Stanford UniversityElectrical Engineering
Frequently Asked Questions about Chris Cunningham
What company does Chris Cunningham work for?
Chris Cunningham works for Abbvie
What is Chris Cunningham's role at the current company?
Chris Cunningham's current role is Leader Developing AI, Machine Learning, Data, & Technology Solutions.
What is Chris Cunningham's email address?
Chris Cunningham's email address is ch****@****mit.edu
What is Chris Cunningham's direct phone number?
Chris Cunningham's direct phone number is +195240*****
What schools did Chris Cunningham attend?
Chris Cunningham attended Massachusetts Institute Of Technology, Stanford University.
What skills is Chris Cunningham known for?
Chris Cunningham has skills like Embedded Systems, Algorithms, Digital Signal Processors, Signal Processing, C, Agile Methodologies, Matlab, C++, Software Engineering, Firmware, Embedded Software, Testing.
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