Jason Su

Closed (1) Sources of On-Road Vehicle Emissions and their Impacts on Respiratory Disease Symptoms in California

Applications for fall 2021 are now closed for this project.

In this project, the University of California, Berkeley (UCB) will use a spatially and temporally-resolved rescue medication use dataset collected by Propeller Health using digital sensors across California to identify the impacts of both tailpipe and non-tailpipe on-road vehicle emissions on sub-acute respiratory disease symptoms through traditional linear mixed models and also the advanced random forest machine learning modeling technique. The results of this project will help CARB characterize the health effects of regulatory programs, and identify disproportionately exposed communities and related sources. More importantly, the study will provide the information needed to include respiratory disease exacerbations as a new endpoint for CARB’s health analysis in regulatory processes.

The student will participate in scientific computing and health outcome analysis through R language, and draft papers for publication.

The student’s key learning outcomes will include increased proficiency in scientific computing with R, improved understanding of the impact of environmental factors on respiratory disease symptoms and improved skills in drafting papers for scientific publication., Staff Researcher

Qualifications: Required skills include strong writing skills, familiar with scientific computing in R and demonstrate an interest in studying the impacts of environment on health.

Weekly Hours: 9-11 hrs

Off-Campus Research Site: We would meet weekly for an hour over Zoom

Related website: https://publichealth.berkeley.edu/people/jason-su/
Related website: https://scholar.google.com/citations?hl=en&user=64EdGIQAAAAJ&view_op=list_works&sortby=pubdate

Closed (2) Impacts of train and port pollution and air toxics on respiratory symptoms and ED visits within vulnerable communities in Southern California

Applications for fall 2021 are now closed for this project.

In this project, the University of California, Berkeley and ResMed will use the ResMed target population in Southern California SoCal to study the impacts of (1) criteria air pollutant emissions from locomotive and port craft operations and (2) air toxics from point, area and mobile sources on daily rescue medication use within the vulnerable communities in SoCal for the years 2016-2019. The impacts of air pollution on annual emergency department (ED) visits within the vulnerable communities will also be investigated and compared with the air pollution impacts estimated on daily rescue medication use. Further, the sources contributing to the criteria air pollutants and air toxics emissions in the vulnerable communities will be identified.

The student will participate in scientific computing and health outcome analysis through R language, and draft papers for publication.

The student’s key learning outcomes will include increased proficiency in scientific computing with R, improved understanding of the impact of environmental factors on respiratory disease symptoms and improved skills in drafting papers for scientific publication., Staff Researcher

Qualifications: Required skills include strong writing skills, familiar with scientific computing in R and demonstrate an interest in studying the impacts of environment on health.

Weekly Hours: 9-11 hrs

Off-Campus Research Site: We would meet weekly for an hour over Zoom

Related website: https://publichealth.berkeley.edu/people/jason-su/
Related website: https://scholar.google.com/citations?hl=en&user=64EdGIQAAAAJ&view_op=list_works&sortby=pubdate

Closed (3) Prediction of prevalence of the chronic obstructive pulmonary disease (COPD) in year 2050 for world countries

Applications for fall 2021 are now closed for this project.

In this project, the University of California, Berkeley will use the historical global annual land cover, country-level annual human development index, COPD prevalence and other related data to build linear mixed and random forest models to identify factors impacting a country’s COPD prevalence. The project will also model the trends of world countries for human development index and predict country-level human development index for year 2050. The end goal of the project is to predict country-level COPD prevalence in year 2050 using data modeled for 2050 including global land cover, human development index and other related data.

The student will participate in scientific programming and health outcome analysis through R language, and draft papers for publication.

The student’s key learning outcomes will include increased proficiency in scientific computing with R, improved understanding of the impact of environmental factors on respiratory disease symptoms and improved skills in drafting papers for scientific publication., Staff Researcher

Qualifications: Required skills include strong writing skills, familiar with scientific computing in R and demonstrate an interest in studying the impacts of environment on health.

Weekly Hours: 9-11 hrs

Off-Campus Research Site: We would meet weekly for an hour over Zoom

Related website: https://publichealth.berkeley.edu/people/jason-su/
Related website: https://scholar.google.com/citations?hl=en&user=64EdGIQAAAAJ&view_op=list_works&sortby=pubdate