HDSI Postdoctoral Fellow

Ivana Malenica

Ivana Malenica

2022 Wojcicki Troper HDSI Postdoctoral Fellow
Department of Statistics
Harvard Faculty of Arts and Sciences

Ivana Malenica works at the intersection of causal inference and machine learning, with an emphasis on development of statistical methodology for efficient and robust estimation in non/semi-parametric settings. Most of her work involves causal inference with complex dependence, as well as development of novel machine learning algorithms for data-driven decision-making. She is particularly interested in applications spanning personalized medicine and precision public health.... Read more about Ivana Malenica

Esther Rolf

Esther Rolf

2022 HDSI Postdoctoral Fellow
Postdoctoral Fellow at Center for Research on Computation and Society
Harvard John A. Paulson School of Engineering and Applied Sciences

Esther's research lies in the union of machine learning, statistics, and algorithms, with particular interest in problems with the potential for positive...

Read more about Esther Rolf
Joel

Joel Martinez

2021 Wojcicki Troper HDSI Postdoctoral Fellow
Department of Psychology
Harvard Faculty of Arts and Sciences

Joel’s research explores how various data-driven methods help us measure collective and idiosyncratic understandings of contemporary topics within race, sexuality, and migration discourse. Examples include identifying how perceptions of racism, mental representations of illegalized immigrants, or beliefs on whether taking HIV prevention medication is a private or public matter become patterned within and between social cleavages. In a developing line of research, they interrogate how mainstream analytic methods and philosophical commitments (e.g., social epistemologies and ontologies) facilitate or restrict knowledge-building in the field of psychology. For instance, highlighting how anti-essentialist and materialist philosophies cast doubt on social psychology’s analytic approaches for studying “racial groups” as static agentic entities.... Read more about Joel Martinez

Agni

Agni Orfanoudaki

2021 HDSI Postdoctoral Fellow
Harvard Kennedy School

Agni Orfanoudaki works at the intersection of optimization and machine learning, with applications to healthcare and insurance. Her research explores practical solutions to address real-world industry needs drawn from conversations and requests from clinicians and health care organizations, solved in new, creative ways that leverage data-driven analytics. She has collaborated with multiple institutions, including a major medical society, an international reinsurance company, and more than seven hospitals from the US and Europe. As an HDSI fellow, Agni will focus on the development of novel algorithms for sequential decision-making employing reinforcement learning and causal inference techniques.... Read more about Agni Orfanoudaki

Damian Blasi

Damián Blasi

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

Evan Rosenman

Evan Rosenman

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

Proctor

Jonathan Proctor

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

Joseph Dexter

Joseph Dexter

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

Hannah

Hannah Correia

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