Daniel (he/him/his) is a postdoctoral fellow at the University of Washington School of Aquatic and Fishery Sciences (UW SAFS) and the Alaska Fishery Science Center (NOAA AFSC). Currently, he is working with André Punt (UW SAFS) and Lewis Barnett (NOAA AFSC) to develop a framework for designing efficient and flexible fishery-independent surveys for the eastern and northern Bering Sea to address the challenges of limited resources and shifting species distributions while evaluating their expected effects on survey data.

Daniel earned an MS in Oceanography and Marine Management from the University of Barcelona in 2016. He started working as a research assistant at the Institute of Marine Sciences (ICM-CSIC) and the Ecopath International Initiative (Barcelona, Spain) where he took part in species distribution and ecosystem modeling groups in collaboration with Marta Coll. In 2022, he earned his Ph.D. in Fisheries and Aquatic Sciences at the University of Florida under the supervision of David Chagaris. During his Ph.D. which focused on spatiotemporal ecosystem dynamics on the West Florida Shelf with emphasis on red tides, Daniel developed, fitted, and evaluated multiple species distribution (VAST, GLM, delta-GLM, and GAM), ecosystem (Ecopath with Ecosim and Ecospace), and statistical catch-at-age models (Stock Synthesis and ADMB). Additionally, he developed an R Shiny app (RedTideVIS) to communicate estimated red tide impacts to stakeholders.

See his Google Scholar for a current publications list.