Shivish Bhandari is a graduate student in the Bioenvironmental Science Ph.D. program at Morgan State University (MSU). He works with Dr. Ming Liu at Patuxent Environmental and Aquatic Research Laboratory to develop oyster lines with economical traits that are adapted to the Maryland environment through genetic breeding technology. He will also perform a genomic analysis to understand the environment-genome interaction in Eastern oysters.
Shivish is an international student from Nepal. He completed a Master's degree in Zoology from Tribhuvan University, Kathmandu, Nepal. He also has taken a graduate course from Austin Peay State University and a short course on geospatial modeling for wildlife conservation from the Smithsonian-Mason School of Conservation at George Mason University. Prior to studying at MSU, Shivish worked in the field of ecology and conservation biology. His research focused on the effects of natural and anthropogenic disturbance on the tigers, leopards, and striped hyena. He enjoys traveling, bird watching, and photography.
Maryland Sea Grant is hiring a Professional Development and Aquaculture Education Coordinator. More details.
Knauss legislative fellowships in Congress help build careers — and they're fun and educational. See our video and fact sheet for details.
Maryland Sea Grant has program development funds for start-up efforts or strategic support for emerging areas of research. Apply here.
Smithville is a community on Maryland’s Eastern Shore, on the edge of the Blackwater National Wildlife Refuge. A century ago, Smithville had more than 100 residents. Today, it has four, in two homes: an elderly couple, and one elderly woman and her son, who cares for her.
Shivish Bhandari is a graduate student in the Bioenvironmental Science Ph.D. program at Morgan State University studying environment-genome interaction in Eastern oysters. Outside of his studies, Shivish enjoys traveling, bird watching, and photography.
Though fish populations typical experience spatially varying mortality, abundance, and fishing pressure, stock assessments commonly model a population that is assumed to be well-mixed. When assumptions about population mixing are not met, these models can result in biased estimates. Spatial population estimates are particularly beneficial to the Chesapeake Bay as this region faces unique challenges as a result of climate change, fishing pressure, and land use within the watershed.