I am a Research Scientist at the FutureTech Lab at MIT. My goal is to explore how new technologies and trends affect science and society and to use this understanding to advocate for better research and environmental policy. In pursuit of that, 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.
In terms of my professional engagements, I serve as an editor for the Journal of Open-Source Software (JOSS), a review board member for the Journal of Systems Research (JSys), an Early-Career Board member at Harvard Data Science Review, and a committee member for the eScience 2023 and Supercomputing 2024 conferences.
Climate, Health and Econometrics
Science of Science
|My FutureTech page
|My NSAPH page
|My IQSS page
|My PhD thesis
The 12th International Conference on Learning Representations (ICLR), 2024
Environmental Health Perspectives, 2023
PeerJ Computer Science, 2022
Harvard Data Science Review, 2020
Nature Physics, 2019