Dalhousie University | Icebreaker

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Dalhousie University | Icebreaker

Dalhousie University

Dalhousie University

With campuses located in Halifax and Truro, NS, Dalhousie is a research-intensive university offering over 300 degrees in 13 diverse faculties.

62 members

Contact info

Link

dal.ca

Members

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With a Master's in Planning from Dalhousie University and a certificate in Geographic Information Systems (GIS) from the University of the Fraser Valley, Daniel knows the importance of displaying and analysing data spatially for successful planning. With Planning and GIS experience in Western Kenya, Northern Alberta, Coastal Tanzania, British Columbia, and the Maritimes, Daniel has mapped and analysed information for the benefit of various government, private sector, academic and not-for-profit projects. In Halifax, Daniel has taught Introductory Geography at Dalhouise University and worked as a consultant with the Province of Nova Scotia, CBCL Ltd., the Atlantic Climate Adaptation Solutions Association, Upland Urban Planning and Design Studio, Urban Perspectives Landscape Architecture & Urban Planning and TEAL Architects on topics related to spatial data management, park master plans, subdivision development, active transportation, coastal climate change adaptation, social vulnerability and open space planning. He has also done a number of contracts with CE Consulting on affordable housing in the communities of Abbotsford, Peachland, and Summerland, in British Columbia. Daniel is currently working as a Senior Planner for the Department of Municipal Affairs in Halifax. Where he manages the province's Municipal Flood Line Mapping program. <div data-iframe-width="150" data-iframe-height="270" data-share-badge-id="5ce88717-6807-4293-95a9-de6bde3cb080" data-share-badge-host="https://www.credly.com"></div><script type="text/javascript" async src="//cdn.credly.com/assets/utilities/embed.js"></script>

Meagan Timney, Ph.D.

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Sr. Director, Research & Insights | 2K

Sam Pajot-Phipps

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Co-Founder, CEO @ Courtyard AI

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I've had the good fortune of working all over the world with amazing people, building amazing things in the media, sports, and entertainment business! I'm currently working with the NHL, helping strategize and negotiate TV and streaming deals. In addition to having an MBA in finance and analytics, I am also a licensed attorney in California. My passions outside of work include music, fitness, cooking, and learning languages.

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An industrial research scientist with experience in desktop, mobile, and web application development. With proven communication skills and engineering knowledge, Philip works well as a team member and leader. Interested in mobile applications development, scientific modelling and simulation, human-centric computing, system architecture, end-user workflow design, and most really hard problems. Specialties: Software engineering, object-oriented design and programming, enterprise architecture, development methodologies, simulation, modelling, semantic web technologies, web information retrieval, team leadership & management, multi-threaded systems, network programming, distributed processing, design patterns, UML, unit testing, automation, aspect-oriented design, Java, Python, JavaScript, C++, PHP

Muthukumar Rajendran

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Muthukumar is an accomplished full stack Data Scientist and ML engineer with over 7 years of professional experience, currently specializing in end-to-end AI/ML solutions. His expertise spans the complete data science lifecycle, including data exploration, model development, deployment, and production-grade implementation. At Chubb, he has significantly contributed to developing and deploying cutting-edge models leveraging Large Language Models (LLMs), transformer architectures, and Retrieval-Augmented Generation (RAG) techniques. With a robust technical foundation in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Python programming, Muthukumar also excels in writing scalable, production-ready code and developing insightful dashboards to visualize complex analytics for business stakeholders. Holding a Master's degree in Computer Science, Muthukumar has authored innovative research in NLP and deep learning. Passionate about continuous learning, he actively pursues certifications and remains current with advancements in Big Data, NLP frameworks, and machine learning technologies.

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Founder @ Padder

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Solutions @ Nvidia

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Mathematical and Computational Finance

Kalina Grabb, PhD

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Chemical Oceanographer working at the intersection of Marine Science and Policy

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