Michael Bouzinier is a Senior Research Software Engineer within University Research Computing. He has over 30 years of diverse experience in software research and development and 10 years as a professional educator. His intellectual interests include semiotics, natural language processing and text analytics, data visualization, evolutionary and medical genetics, computer simulations, and explainable AI. Throughout his career, he has worked and led diverse international teams, successfully collaborating with developers and researchers from within the US, UK, Sweden, Finland, Belgium, The Netherlands, and Japan.
Dmitry Etin is a digital health strategist specializing in interoperability and health data management at the intersection of technology, medicine, and policy. He guides organizations and policymakers through the complexities of health data governance and large-scale interoperability initiatives, bringing practical solutions to critical challenges in digital health.He is deeply involved in shaping the European Health Data Space, working with the European Commission and supporting the European Medicines Agency in enabling an interoperable European Medicines Regulatory Network. Dmitry is also involved in several Horizon-funded research initiatives, accelerating the adoption of interoperable EHR systems in the EU. As a co-founder of Forome, an open-source initiative for genomics, health data management, and regulatory compliance, he helps develop data provenance and analysis tools for complex healthcare and clinical research cases.
Naeem Khoshnevis is a Research Software Engineer within University Research Computing. In this role, Naeem designs, builds, and optimizes software applications for researchers across Harvard University. Naeem has a superior mathematical and numerical analysis background and has developed, documented, debugged, extended, and refactored numerous scientific software applications for research groups, helping them successfully carry out their projects.
Max Shad is the Director of Engineering at the Kempner Institute for the Study of Natural and Artificial Intelligence and University Research Computing and Data (RCD) at Harvard University. In this role, he leads the computational program of the Kempner Institute, ensuring the provision of advanced Research Computing (RC) tools/services and expert Research Software Engineering (RSE) support. His efforts are instrumental in leveraging High-Performance Computing (HPC), particularly in Machine Learning (ML) and AI research, to facilitate pioneering discoveries in AI, ML, and computational biology.
Scott Yockel is the University Research Computing Officer at Harvard. In this role, Scott works with researchers across campus to develop and champion a university-wide research computing strategy in support of Harvard’s research mission. He is focused on identifying emerging needs, engaging with faculty, school, and university leadership to articulate those needs, and identifying possible solutions and funding mechanisms. He is spearheading the implementation of these initiatives and articulating their success with concrete measures.