Mark Wagy, Ph.D. Email and Phone Number
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Mark Wagy, Ph.D. personal email
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I am driven by a passion for harnessing artificial intelligence and data science to solve complex problems and unlock new growth opportunities for businesses. With a career rooted in innovation and collaboration, I have consistently led AI-driven initiatives that drive measurable impact across operations and product development.As a senior AI executive with deep expertise in building AI products and leading data-driven teams, I specialize in translating cutting-edge technologies into actionable strategies. My experience spans both startups and large enterprises, giving me a unique perspective on how to integrate AI and machine learning systems at scale. I thrive at the intersection of strategy, technology, and leadership, empowering organizations to adapt swiftly to change, optimize performance, and deliver sustained success.Key areas of focus include generative AI, predictive analytics, and machine learning applications that streamline processes and enhance decision-making. I take pride in advising organizations on how to leverage AI for competitive advantage, whether by implementing advanced AI techniques or guiding teams to create innovative solutions.My goal is simple: to help organizations harness the full potential of AI to not only meet today’s demands but to proactively shape the future. Through transformative leadership and a deep commitment to excellence, I aim to foster innovation that drives business growth, operational efficiency, and long-term value creation.
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Chief Technology Officer And Head Of AiSbd TechnologiesPortland, Me, Us
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Vice President, Artificial IntelligenceWex Sep 2023 - Nov 2024Portland, Maine, Us- Led data science and engineering teams to build company's first customer-facing LLM-based generative AI solutions- Established internal AI platform for generative AI capabilities -
Vice President, Global Risk Decision ScienceWex Mar 2023 - Sep 2023Portland, Maine, Us- Led data science team that developed and deployed machine learning models for fraud, credit origination and portfolio adjustment.- Established governance framework for machine learning model development and deployment.
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Manager, Ai SolutionsInstitute For Experiential Ai At Northeastern University Apr 2022 - Mar 2023Boston, Massachusetts, Us- Supervised a team that built and deployed AI solutions as a consulting service.- Worked with researchers to leverage the latest AI research for industry solutions.- Built a recommendation system for Maine’s largest bank, leading to sales targets exceeding expectations. -
Adjunct ProfessorNortheastern University Mar 2021 - Feb 2023Boston, Ma, Us- Built curriculum, coursework, and learning materials for a Fundamentals of AI course.- Taught in-person and virtual AI courses to graduate students.- Recorded virtual Fundamentals of AI course used across Northeastern’s global campuses. -
Cto & Co-FounderSolve Finance Feb 2021 - Apr 2022Brooklyn, New York, Us- Led technical build, decision-making, and processes. Defined company strategy and approach. Built product and market fit.- Raised a pre-seed round of funding (more than $1M) from multiple investors, including venture capital firms and angel investors.- Developed a team of eight to deliver a data and AI-based financial advisor tool that led to revenue and acquisition interest from several companies.- Established the company from the ground up, including culture, employee benefits, processes, and systems. Partnered with cofounder on customer and sales development. -
Senior Director, Data ScienceWex Sep 2020 - Feb 2021Portland, Maine, Us- Led a team of 20 data scientists and data engineers. Drove strategy for data analytics, AI, and data infrastructure.
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Director, Data Science And EngineeringWex Apr 2019 - Sep 2020Portland, Maine, Us- Established the company’s first AI team.- Built several machine learning models and data solutions that had a high impact on the company, including helping to stop $1M of monthly fraud to the company.- Created a Data Lake that became the central repository of data, driving operations and analytics for every organization in the business.
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Lead Data ScientistWex Oct 2018 - Apr 2019Portland, Maine, Us- Avoided regulatory challenges through deployment of an anti-money laundering tool and real-time transaction decisioning system.- Established data science team that defined first Applied AI opportunities for the company.
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Senior Data ScientistWex Feb 2017 - Oct 2018Portland, Maine, Us- Developed marketing lead-generation models, improving the revenue prospect lift in the seven figures.- Built deep learning machine learning model based on LSTM that predicted customer attrition.
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Postdoctoral Research AssociateDartmouth College Aug 2016 - Mar 2017Hanover, Nh, Us- Defined and performed AI research.- Built new approaches to natural language processing and unsupervised learning of sequences.- Mentored Ph.D. students and research assistants. -
Data Science And Data Architecture ConsultantSelf-Employed 2012 - 2017- Built machine learning, Big Data, visualization and statistical computing tools for various companies in the medical, energy and financial sectors.
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Nsf Igert Graduate Research FellowUniversity Of Vermont 2012 - Jul 2016Burlington, Vermont, Us- Published five peer-reviewed papers in AI and Artificial Life.- Collaborated with industry and research partners, including Sandia National Laboratories and Green Mountain Power, on leveraging machine learning for wind turbine placement and predicting consumer power usage patterns.- Presented AI research at international conferences. -
Software Engineer, Research AssistantMassachusetts Institute Of Technology (Mit) 2011 - 2012Cambridge, Ma, Us- Consulted and engineered a massive machine learning system in partnership with industry colleagues. - Published three papers on machine learning systems in peer-reviewed conference proceedings. -
Senior Software EngineerLexisnexis 2008 - 2012New York City, Ny, Us- Built systems for large data search and retrieval, wrote API endpoints, and built web services. - Built a key company end-to-end software search system for bankruptcy, liens, and judgments, using Big Data technologies. -
ScientistMedtronic 2005 - 2008Minneapolis, Mn, Us- Researched and developed algorithms for biological signals- Built a company materials database used by all mechanical and materials engineers. - Piloted probabilistic numerical modeling techniques for medical device failures.
Mark Wagy, Ph.D. Skills
Mark Wagy, Ph.D. Education Details
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University Of VermontComputer Science -
University Of MinnesotaComputer Science
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Lewis & Clark CollegeMathematics And Physics
Frequently Asked Questions about Mark Wagy, Ph.D.
What company does Mark Wagy, Ph.D. work for?
Mark Wagy, Ph.D. works for Sbd Technologies
What is Mark Wagy, Ph.D.'s role at the current company?
Mark Wagy, Ph.D.'s current role is Chief Technology Officer and Head of AI.
What is Mark Wagy, Ph.D.'s email address?
Mark Wagy, Ph.D.'s email address is m.****@****ern.edu
What is Mark Wagy, Ph.D.'s direct phone number?
Mark Wagy, Ph.D.'s direct phone number is (207) 773*****
What schools did Mark Wagy, Ph.D. attend?
Mark Wagy, Ph.D. attended University Of Vermont, University Of Minnesota, Lewis & Clark College.
What skills is Mark Wagy, Ph.D. known for?
Mark Wagy, Ph.D. has skills like Artificial Intelligence, Machine Learning, Software Engineering, Statistics, Matlab, Research, Software Development, R, Python, C++, Algorithms, Java.
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