About

I am a Research Scientist at the FutureTech Lab at the Massachusetts Institute of Technology (MIT). I have affiliations with the Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Sloan School of Management. Additionally, I am an Associate with the Institute for Quantitative Social Science (IQSS) at Harvard University. My work focuses on exploring the intersection of artificial intelligence (AI), science, and society, aiming to advocate for improved research practices and policies. I specialize in topics such as the science of science, open-source software and AI, computational social science, and research reproducibility. Currently, I am examining the AI trends in science, focusing on its applications, scaling effects, potential for de-democratization, and the importance of open-source solutions. Additionally, I am interested in climate research, particularly in extreme climate events, environmental justice, and the applications of AI for climate solutions.

Biography

Before joining MIT, I was a Research Associate in the National Studies on Air Pollution and Health (NSAPH) group within the Department of Biostatistics at Harvard T.H. Chan School of Public Health and a Postdoctoral Scholar at Harvard University's Institute for Quantitative Social Science. My work included contributions to several notable projects, including the Harvard Data Commons and the Dataverse project.

I was a CLIR Postdoctoral Fellow at the University of Chicago in 2019, collaborating 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 contributed to the Large Hadron Collider Beauty experiment (LHCb), CERN Open Data, and CERN Analysis Preservation. During my doctoral studies, I received the Muir Wood Studentship from Newnham College, the CERN Doctoral Student fellowship, and the Google Anita Borg Memorial Scholarship (Women Techmakers).

Professional Services

In my professional engagements, I am eager to contribute to the broader academic and research community. I am an editor for the Journal of Open-Source Software (JOSS) and a review board member for the Journal of Systems Research (JSys). Additionally, I serve as an Early-Career Board member at the Harvard Data Science Review and contribute as a committee member for the eScience 2023 and Supercomputing 2024 conferences.

I am a proud member of the United States National Committee for the Committee on Data of the International Science Council (CODATA) under the National Academies of Sciences, Engineering, and Medicine (NASEM).

Contact

FutureTech Lab welcomes fellow researchers and students interested in collaborative research! If you are interested in exploring research opportunities with me, feel free to reach out. You can contact me via email at ana_tris at mit dot edu. I am always enthusiastic about discussing potential research projects.

Research Highlights and Initiatives

References and Resources

Featured Publications

SpaCE: The Spatial Confounding Environment

M. Tec, A. Trisovic, M. Audirac, S. Woodward, J. K. Hu, N. Khoshnevis, F. Dominici
The 12th International Conference on Learning Representations (ICLR), 2024

Air Pollution and Acute Kidney Injury in the US Medicare Population: A Longitudinal Cohort Study

W. Lee, X. Wu, S. Heo, J. M. Kim, K. C. Fong, J. Son, M. B. Sabath, A. Trisovic, D. Braun, J. Y. Park, Y. C. Kim, J. P. Lee, J. Schwartz, H. Kim, F. Dominici, Z. Al-Aly, M. L. Bell
Environmental Health Perspectives, 2023

A Large-Scale Study on Research Code Quality and Execution

A. Trisovic, T. Pasquier, M. K. Lau, M. Crosas
Nature Scientific Data, 2022

Nine Best Practices for Research Software Registries and Repositories

D. Garijo, H. Ménager, L. Hwang, A. Trisovic, M. Hucka, T. Morrell, A. Allen, Task Force on Best Practices for Software Registries, SciCodes Consortium
PeerJ Computer Science, 2022

Toward Reproducible and Extensible Research: From Values to Action

(α-β) A. Goeva, S. Stoudt, A. Trisovic
Harvard Data Science Review, 2020

Open is Not Enough

(α-β) X. Chen, S. Dallmeier-Tiessen, R. Dasler, S. Feger, P. Fokianos, J. B. Gonzalez, H. Hirvonsalo, D. Kousidis, A. Lavasa, S. Mele, D. R. Rodriguez, T. Šimko, T. Smith, A. Trisovic, A. Trzcinska, I. Tsanaktsidis, M. Zimmermann, K. Cranmer, L. Heinrich, G. Watts, M. Hildreth, L. Lloret Iglesias, K. Lassila-Perini, S. Neubert
Nature Physics, 2019