The phiz team brings together data scientists, engineers, analysts, and innovators united by a shared mission: reimagining public health workflows through emerging data practices and human-centred design.
Active
Current Team
Building the future of public health, one pilot at a time.
Eswar Attuluri is a Health Data Analyst at Wellington-Dufferin-Guelph Public Health. Trained in Pharmacy and Medical Biotechnology, he has researched topics ranging from the impact of banned drug use on populations to producing recombinant insulin with E. coli. These experiences shaped his interest in using data and technology to improve how health systems work for people and communities.
Jacob MacKinlay is a Data & Analytics Specialist at Wellington-Dufferin-Guelph Public Health, where he translates complex data into actionable public health insight. He serves as the Data Lead for the Substance Use Portfolio, working with municipal, provincial, and national datasets to inform evidence-based programming and community response. Jacob is a passionate health and data communicator and helps lead the development of internal and public-facing dashboards to make public health data more accessible and meaningful.
Justin is Principal Data Scientist at Wellington-Dufferin-Guelph Public Health, where he manages portfolios in data science, data engineering, and AI. He previously completed a PhD (2020) and MSc (2014) in Applied Statistics at the University of Guelph, where he developed machine learning methods for outbreak reconstruction using pathogen genetic data and created models for spatially correlated data. Justin believes that open-source software is a powerful framework for building consistency, and trust across the public health system.
Kassy Raymond is a Data Engineer at Wellington-Dufferin-Guelph Public Health and a PhD candidate in Computational Sciences at the University of Guelph, where she also earned her MSc in Bioinformatics. Her previous roles include Technical Manager for the Global Burden of Animal Diseases (GBADs) and Research Fellow with the Datasphere Initiative. At WDGPH, Kassy aims to use her skills to create transformative, equity-focused data tools and pipelines that support the health of her community, and other communities across Ontario.
Dr. Kyle J. Wilson is a public sector innovator with more than 20 years of experience advancing the efficient use of public dollars through smarter systems, streamlined processes, and future-focused technologies. He serves as the Vice President of Information Systems & Digital Innovation at Wellington-Dufferin-Guelph Public Health, and holds academic appointments as an Adjunct Professor at the University of Guelph, a Lecturer at the University of Waterloo, and an Associate Member at Toronto Metropolitan University. Dr. Wilson’s work centers on reimagining public-sector workflows, leveraging emerging technologies, and modernizing digital infrastructure to deliver greater impact, accountability, and value for communities. He has also contributed to Ontario’s broader public landscape through board service with the Education Quality and Accountability Office (EQAO) and the YMCA. His mission is clear: build public systems that run efficiently, think intelligently, and elevate the well-being of everyone they serve.
Tia is a Data Science Fellow at Wellington-Dufferin-Guelph Public Health. With a background in Systems Design Engineering focused on Medical AI, Tia is passionate about applying technology to address real-world health problems at any scale. Her graduate work has involved both fundamental and applied AI research, collaborating with clinicians to develop AI systems to improve clinical workflows.
Cathrine is a Data Scientist Intern at Wellington-Dufferin-Guelph Public Health, where she applies AI and automation within the safe water portfolio. She is motivated by the belief that technology should simplify, strengthen, and expand how we understand and improve health. Her background includes a Master’s in Computer Science, where she modeled lower motor neuron diseases in simulated muscles, and she is now pursuing a PhD in Computational Science to advance predictive methods for neurological disease.