Collaborators
Dr. Suchi Gopal (she/her)
Professor of Earth and Environment, Boston University
Dr. Gopal is a Professor in the Department of Earth and Environment at Boston University. Her multi-disciplinary research primarily delves into the intricate world of geospatial finance and AI, geospatial data analysis and modeling, GIS, data mining, information visualization, and artificial neural networks. Over the years, Dr. Gopal has pioneered numerous methodologies and concepts, including fuzzy sets in accuracy assessment, neural networks for pattern classification, estimation, and mixture modeling. Her work often combines data science and statistical analysis with practical applications in urban planning, systems modeling, public health, and sustainable finance, resulting in holistic solutions to some of society’s most challenging problems. Her recent work includes applying ecosystem-based management to inform the planning and leasing process for offshore wind energy production in the Gulf of Maine, gendered food security in Lake Victoria, coastal ecosystem modeling and designing decision support tools, deep learning AI for mangrove mapping, and panel modeling for analyzing opioid addiction. She is the Co-PI on the NSF COPES (“Coastlines and People”; NSF 21-613) grant, and she is the Co-Investigator on NSF “IRES Track II: Multidisciplinary Coastal Zone Hazards Institutes – France, Japan, Indonesia”. Besides her scholarly pursuits, Dr. Gopal advocates for STEM education and public outreach. She won the BU faculty Ignition Seed grant and participated in the MassChallenge FinTech competition for startups.
Dr. Ethan Deyle (he/him)
Research Assistant Professor of Biology, Tufts University
Dr. Ethan Deyle is a quantitative ecologist and research assistant professor of biology at Tufts University with an ongoing appointment at Boston University. He uses a combination of data and mathematics to address practical questions in ocean conservation and management. He has expertise in empirical dynamic modeling, ecological forecasting, and causal inference. In conjunction with the lab, Professor Deyle focuses on data science components integrated with the lab’s research on benthic cover, coral restoration, and fish abundances.