I am a Research Scientist at the FutureTech Lab at MIT. My overarching goal is to increase our understanding of how new technologies and trends affect science and society, and to advocate for policy advancements ranging from promoting environmental justice to ensuring the reliability, robustness, and integrity of scientific research. In pursuit of this, I focus on a range of research interests, including the science of science, climate change and health, open data and benchmarks, open-source software and AI models, and reproducibility and replicability of modern research methods.
Previously, I was a Research Associate in the National Studies on Air Pollution and Health (NSAPH) group, at the Department of Biostatistics of Harvard T.H. Chan School of Public Health and a Postdoctoral Scholar at the Institute for Quantitative Social Science of Harvard's Faculty of Arts and Sciences. I have contributed to several notable projects, including Harvard Data Commons and the Dataverse project. I was a CLIR Postdoctoral Fellow at the University of Chicago in 2019, where I worked with the Energy Policy Institute (EPIC) and the Library. I completed my Ph.D. in 2018 at the University of Cambridge and CERN, where I worked on the LHCb experiment, CERN Open Data and CERN Analysis Preservation.
Climate, Health and Econometrics
Environmental Health Perspectives, 2023
PeerJ Computer Science, 2022