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NYCE AI Innovation Challenge Working Session Three


Listed below is the availability of mentors for the NY Climate Exchange AI Innovation Challenge working session on Tuesday, April 30, 2024.

More mentors will be announced soon!

  • Richard Chan
    Richard Chan
    Associate Professor, College of Business; Director, SBU Innovation Center Available 1:30 pm - 3 pm

    Area of Expertise: Entrepreneurial finance, commercialization of innovation

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  • Sung-Gheel (Gil) Jang, PhD
    Director, Geospatial Center ProgramSchool of Marine and Atmospheric SciencesAvailable 10 am - 12 pm

    Area of Expertise:  Spatial data analytics of open data and crowdsourced data; mapping urban coastal systems; developing a spatially explicit index system

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  • Christopher Lange
    Chris Lange
    Engineering ManagerCEWITAvailable 10 am - 4 pm

    Area of Expertise: Cloud Software Solutions Architect, Cloud Native Applications, Big Data Applications, Software Development

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  • Dominique Lee
    Dominique Lee
    Research and Experience Design ConsultantEx-MicrosoftAvailable 10 am - 4 pm

    Area of Expertise: Solving Business Problems, Digital Transformation, Web and Mobile App Development (IOS, Android) 

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  • Zachary Lerman
    Zachary Lerman
    Senior Software and Data Science AnalystCEWITAvailable 10 am - 4 pm

    Area of Expertise: Data science and visualization, AI and machine learning, software development

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  • Tianyun Ling
    Tianyun Ling
    Senior Programmer AnalystCEWITAvailable 10 am - 4 pm

    Area of Expertise: Data ETL, analysis and visualization. Website development. AI-based Image analysis. Software Development.

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  • Manoj Mahajan
    Manoj Mahajan
    Senior Research ScientistCEWITAvailable 10 am - 4 pm

    Area of Expertise: Satellite geospatial & imagery analysis, geospatial technology, entrepreneurship, atmospheric sciences

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  • Pawel Polak
    Pawel Polak
    Assistant ProfessorDepartment of Applied Mathematics and StatisticsAvailable 12 pm - 5 pm

    Area of Expertise:  Machine Learning Methods,  Statistical Learning, Multimodal Large Language Models

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