Jessica Forde

Jessica Zosa Forde is a PhD student in Computer Science at Brown University, specializing in machine learning research.12 Her work focuses on the empirical study of deep learning models, with the aim of improving their reliability in high-stakes domains such as healthcare.12

Research Interests

Jessica's primary areas of focus include:

• Deep learning
• Healthcare applications
• Reproducibility in machine learning
• Open science
• Open source software

Academic Background

Jessica's educational journey includes:

• Current PhD student at Brown University (since 2019)4
• MS from Harvard University4
• MS from New York University4

Professional Contributions

Jessica has made significant contributions to the field of machine learning:

• She has authored 25 research works, which have received 135 citations5
• Her Google Scholar profile shows 2,158 citations, indicating the impact of her work2

Online Presence

Jessica maintains an active online presence:

• She is on Twitter under the handle @in4dmatics, where she describes herself as "Makin' science. Deep learning & reproducibility @BrownCSDept @mlittmancs"6
• Her LinkedIn profile can be found with the username jessica-forde-4aa306153

Additional Roles

Beyond her academic pursuits, Jessica has been involved in various projects:

• She is a maintainer emerita for Project Jupyter and MyBinder Team6
• She has been part of a research group at Brown CS working on multilingual large language models7

Jessica Forde's work at Brown University continues to contribute to the advancement of machine learning, particularly in areas that have significant real-world applications and implications for the scientific community.