2020 HDSI Postdoctoral Fellow Department of Human Evolutionary Biology Faculty of Arts and Sciences, Harvard University
Damián E. Blasi is a researcher at the intersection of linguistics, anthropology, cognitive sciences, and data sciences. His work aims to understand which aspects of collective and individual human behavior shape the structure of languages by leveraging data on present and past linguistic diversity. His recent projects include studying transmission processes during the emergence of creole languages, regular sound-meaning associations appearing independently around the globe, and the influence of subsistence and behavior on the speech apparatus since the beginning of the Holocene.... Read more about Damián Blasi
2020 Wojcicki Troper HDSI Postdoctoral Fellow Department of Global Health and Population Harvard T.H. Chan School of Public Health
Matthew Coooper is an environmental geographer interested in how global environmental change is affecting human well-being. Before academia, Matthew lived all over the world - from Mali to Alaska to the Philippines - working at the intersection of policy and research. Now, he works with large datasets at global scales using data science methods, but with his research questions and hypotheses deeply informed by his experiences in the field and in the policy sector.
2020 HDSI Postdoctoral Fellow The Institute of Quantitative Social Sciences Harvard University
From an early age, Evan Rosenman has been interested in problems at the interface of the mathematical sciences and public policy. Evan earned his undergraduate degree at Harvard, where he majored in Applied Mathematics. Evan subsequently did a stint as a software Product Manager in Washington, D.C. Finding himself drawn to the academic study of data science, he earned a part-time Master's Degree in Statistics and Mathematics from Georgetown. In 2015, Evan moved to California to begin a doctorate in Statistics at Stanford, which he completed in 2020. Evan's research interests have been motivated by the real-world challenges faced by statistical practitioners, and center on questions of causal inference. Throughout graduate school, he has also pursued data analytics opportunities with various progressive political organizations, including the Black Voters Matter Fund and the Morris County, NJ Democratic Committee. Outside of research, Evan enjoys stand-up comedy, cooking, and seeing movies.... Read more about Evan Rosenman
2020 Wojcicki Troper HDSI Postdoctoral Fellow Department of Computer Science Harvard John A. Paulson School of Engineering and Applied Sciences
Carolina's research is focused on visualizing networks that are associated with attributes (multivariate). More recently she has started a project to better understand how users interact with complex visualizations. During her PhD she published on graphs in the context of genealogies and on using spanning trees and associating attribute tables as an approach to visualizing general multivariate networks. She also conducted a large user study to assess how different multivariate network visualization techniques are best suited for different network exploration tasks. Her Master’s thesis addressed the challenge of visualizing multivariate oceanographic data, which she modeled as trees of currents.... Read more about Carolina Nobre
2019 HDSI Postdoctoral Fellow Center for the Environment Harvard Faculty of Arts and Sciences
Jon develops and pairs methods in econometrics, spatial statistics and machine learning with global socio-environmental datasets to empirically estimate the relationships that govern our climate and agricultural systems. For example, in recent work Jon uses volcanic eruptions as natural experiments to provide the first empirically-based estimates of how solar geoengineering might impact agricultural yields. In a second strand of research he develops, characterizes and democratizes new algorithms for planetary-scale monitoring using satellite imagery.... Read more about Jonathan Proctor
2020 HDSI Postdoctoral Fellow Department of Human Evolutionary Biology Harvard Faculty of Arts and Sciences
Joseph Dexter is a Neukom Fellow at Dartmouth College and is an incoming HDSI Postdoctoral Fellow. A computational biologist by training, he has broad interests across data science, and he is particularly enthusiastic about research that brings together traditionally quantitative and qualitative disciplines. To that end, most of his research is concentrated in two interdisciplinary areas: the Digital Humanities, including computational text analysis for Latin, ancient Greek, and other premodern traditions and the cultural evolution of literature, and systems biology and mathematical modeling for biomedicine.... Read more about Joseph Dexter
2019 HDSI Postdoctoral Fellow Department of Global Health and Social Medicine Harvard Medical School
Dr. Isabel Fulcher (she/her/hers) specializes in utilizing routinely collected data to evaluate the impact of programs and policies on health outcomes. She is particularly interested in integrating causal inference methods with implementation science to optimize the delivery of maternal health programs in Tanzania. She is passionate about partnering with program implementors, public health officials, and clinicians to ensure equitable access to evidence-based reproductive healthcare globally.
2019 HDSI Postdoctoral Fellow Department of Biostatistics Harvard T.H. Chan School of Public Health
Hannah Correia's research focuses on the formulation of novel statistical methods to increase accuracy of quantifying causal relationships and creating models to predict potential ecosystem variations. She is also interested in advancing statistical methods for modeling high-dimensional data common to ecological and climatic studies, where it is difficult to apply basic nonparametric approaches. Each year she participates in the Masamu Program, a collaborative workshop in southern Africa focusing on advancing mathematical sciences research with U.S. and African students. Some of the research projects she has been involved with at Masamu include modeling elephant population dynamics, determining the effects of stigma on the spread of HIV/AIDS, and modeling multiple paternity among clades of animals.... Read more about Hannah Correia
2018 DSI Postdoctoral Fellow Department of Molecular & Cellular Biology Harvard Faculty of Arts and Sciences
Jenny Chen is interested in understanding evolution and the genetic basis of innate animal behaviors. Her research is at the intersection of computational genomics, evolutionary biology, and animal ethology. Currently, Jenny is working to identify the genetic differences mediating variation in parental care behaviors across different species of Peromyscus mice.
Jenny received her PhD in Bioinformatics and Integrative Genomics from MIT, where she was advised by Professor Aviv Regev.