Joe Abbate
Doctoral Student, Plasma Physics
Princeton University
DSSG 2018 team:
Access to Educational Opportunities
Although fusion could represent a uniquely excellent energy source, the rewards are far into the future at best and unattainable at worst. What’s more, it takes years, huge machines, and large teams of people to run useful experiments. In stark contrast, social good projects at the municipal level can be fast-moving and directly useful today. With that in mind, I look forward to a summer with my fellow DSSG participants capitalizing on our ability to move fast and tailor our product to the precise needs of our users.
Sean Andrew Chen
Master’s Student, Applied Urban Science and Informatics Candidate
New York University Center for Urban Science and Progress
DSSG 2018 team:
Automatic Damage Annotation
As the Wilson School’s Frederick P. Hitz Scholar in the Nation’s Service, Chen completed a summer internship at the White House Council on Strong Cities, Strong Communities and a two year fellowship with the US Army Corps of Engineers. At the Corps, Chen worked on geospatial analysis, infrastructure economics, and planning across the United States as well as in Southeast Asia. He was recently honored by Pacific Magazine as one of their 2017 “30 Under 30”. His work has appeared in The Chronicle for Higher Education and Next City publications. Chen’s research has focused on the interaction of technology, computational social science, and urban planning, particularly in the domain of infrastructure.
Rebeca de Buen Kalman
Doctoral Student, Evans School of Public Policy and Governance
University of Washington
DSSG 2018 team:
Seattle Mobility Index
Rebeca is interested in a broad range of issues about environmental policy, climate change policy, transportation, and public health. She holds a BS in physics from the National Autonomous University of Mexico and an MSc in Water Science, Policy and Management from Oxford University.
Andrew Escay
Undergraduate Student, College of Business Administration
University of the Philippines Diliman
DSSG 2018 team:
Automatic Damage Annotation
Andrew was first introduced to data science during his internship in the summer of 2017 at Uber. Since then, he has earned four certificates from online classes on Applied Data Science offered by the University of Michigan. He also enjoys climbing mountains, playing board games, travelling, and eating great food.
Christopher Haberland
Master’s Student in Computational Linguistics, Department of Linguistics
University of Washington
DSSG 2018 team:
Automatic Damage Annotation
Darius Irani
Undergraduate Student, Whiting School of Engineering
Johns Hopkins University
DSSG 2018 team:
Seattle Mobility Index
Engaging with community leaders in Baltimore and participating in people-focused hackathons have inspired my interests in quantitative work that can positively impact communities. At MedHacks (a medical hackathon), my team developed an interactive graphical model that maps Baltimore’s low-income residents’ accessibility to federally qualified health clinics. From large publicly-available datasets, I wrote Python scripts to isolate latitude and longitude points and population sizes within a partitioned grid. Then, the mean public transit-time was calculated using a Google API, and all this was presented as an interactive heat-map integrated through a back-end web development using Flask. At IDIES, I am currently analyzing temperature data from the last five years to find patterns and eventually develop a spatial PCA for the high computing data center. I process the data, which is sampled every few seconds and added to a SQL database, to make it more useful and run queries to gain insights from statistical patterns. This summer, I hope to contribute to data-intensive projects that will have a positive and measurable impact in Seattle.
In my free time you can find me taking photos, exploring the city, or going on a hike. I enjoy tasty food and good coffee and listening to music.
Hyeon Jeong Kim
PhD Candidate, Biology Department
University of Washington
DSSG 2018 team:
Seattle Mobility Index
Her research goals include developing a set of genetic makers for population assignment and creating a range-wide genetic database of pangolins to identify poaching hotspots. She is using a combination of detection dogs, high-throughput sequencing, and forensic methods for her research. She splits her time between the lab working on genetics and the field searching for pangolin fecal samples with detection dog teams of Conservation Canines. This work is supported by the USAID Wildlife Crime Tech Challenge.
Sreekanth Krishnaiah
Graduate Student, Statistics
University of Illinois Urbana-Champaign
DSSG 2018 team:
Access to Educational Opportunities
Being a fellow at Data Science for Social Good program is an effort in that direction. I am currently pursuing my graduate studies in Statistics at University of Illinois Urbana-Champaign and applied statistics in social science research is one my areas of interests. I am looking forward to spending my summer with two things I am incredibly passionate about- Data Science and Social Good.
Kellie MacPhee
PhD Student, Department of Mathematics
University of Washington
DSSG 2018 team:
Access to Educational Opportunities
Kellie has previously interned at Pacific Northwest National Laboratory, through their National Security Internship Program, and prior to coming to the U.W., she earned her B.A. in Mathematics from Dartmouth College (with a minor in Japanese Language and Culture). Outside of mathematics, Kellie is interested in education and equity issues. She also plays on the U.W. Women’s Club Water Polo team.
Amandalynne Paullada
PhD Student, Department of Linguistics
University of Washington
DSSG 2018 team:
Seattle Mobility Index
Tessa Schneider
Graduate Student, Public Policy Program
Hertie School of Governance
DSSG 2018 team:
Automatic Damage Annotation
Driven by her passion for social justice at the policy level, she pursued a master’s in public policy at the Hertie School of Governance in Berlin, Germany, focusing on policy analysis and refugee integration. During her master’s studies, Tessa analyzed surveys from refugees and German populists with Social Science Works using R and STATA, co-authored a book chapter on educational barriers facing refugee youth in Germany with the Expert Council of German Foundations on Integration and Migration and co-facilitated the Hertie Social Response Group, which organizes policy-related service projects with migrants and refugees in Berlin. Her master’s thesis focuses on identifying the barriers recent migrants face in integrating into the labor markets of the United States and Germany.
Woosub Shin
Master’s Student, School of Public Health
University of Michigan
DSSG 2018 team:
Seattle Mobility Index
In his free time, Woosub enjoys hiking, reading books, solving not-too-hard math problems, and exploring great coffee shops.
Andrew Taylor
Master’s of Public Administration Candidate
Evans School of Public Policy and Governance, University of Washington
DSSG 2018 team:
Access to Educational Opportunities
From bail reform, to analyzing case processing and correctional case management, the interdisciplinary techniques explored at the eScience Institute have the potential to radically transform criminal justice research. The Data Science for the Social Good Fellowship provides an exceptional opportunity to collaborate with an expert team, and develop strategies for use of data science in the public sector. Andrew is ecstatic to be invited to participate in the fellowship this summer.
An Yan
Doctoral Student, Information School
University of Washington
DSSG 2018 team:
Automatic Damage Annotation
Haowen Zheng
Master’s Student, Applied Quantitative Research Program in Sociology Department
New York University
DSSG 2018 team:
Access to Educational Opportunities