benhuynh
Mr Benjamin Huynh
PhD CandidateInstitution: Department of Biomedical Data Science, Stanford University
Email: benhuynh@stanford.edu
Website: Go to website
Address:
1701 Page Mill Rd, Palo Alto, California, 94304, USA
Migration Health Research Area/Expertise
My research applies modern data science methods to public health issues regarding climate and migration. Recent work involves using machine learning to model internal displacement in Syria and Yemen, as well as using data science to model a massive oil spill near Yemen. Broadly, my work investigates how data science methods could be used to lessen the burden of those facing forced migration, whether by optimizing operational response or advocating for shifts in health policy. Current work involves modeling the health outcomes of refugees, asylum seekers, international students, and undocumented immigrants from proposed tax policy changes in the United States. I am formally trained in statistics and biomedical data science.
Research Focus/Expertise on Relevant Migrant Categories
Internal Migration
Internally displaced persons (Children, Adolescents, Adults, Elderly)
International/Cross-Border Migration
International migrant workers (Adolescents, Adults, Elderly)
International students (Children, Adolescents, Adults)
Refugees (Children, Adolescents, Adults, Elderly)
Asylum seekers (Children, Adolescents, Adults, Elderly)
Relevant Publications
| Title | Author | Year Published | Link to Publication |
|---|---|---|---|
| Forecasting Internally Displaced Population Migration Patterns in Syria and Yemen | Benjamin Q Huynh, Sanjay Basu | View | |
| Public health impacts of an imminent Red Sea oil spill | Benjamin Q Huynh, Laura H Kwong, Mathew V Kiang, Amir M Mohareb, Aisha O Jumaan, Sanjay Basu, Pascal Geldsetzer, Fatima M Karaki, David H Rehkopf | View |