Chrystinne Fernandes is an instructor in biostatistics at Harvard and a Senior Postdoctoral Associate at MIT with 12 years of experience building e-health solutions that bridge AI, machine learning, and data science. She earned a PhD in Computer Science from PUC‑Rio and was a visiting PhD researcher at King’s College London, combining strong academic rigor with practical software development from early-career roles in embedded systems and digital TV. At MIT she contributes to widely used biomedical resources such as MIMIC and PhysioNet, helping maintain and modernize public clinical datasets that enable reproducible research. Her background spans research labs and production software teams in Brazil and the US, giving her a rare fluency in both experimental methods and scalable engineering. Colleagues describe her as someone who translates complex clinical data problems into deployable research infrastructure, often surfacing insights that aren’t obvious from raw data alone.
12 years of coding experience
11 years of employment as a software developer
Specialization and Residence in Data Science and Data Engineering, Computer Science, Specialization and Residence in Data Science and Data Engineering, Computer Science at Universidade Federal de Pernambuco
Bachelor in Computer Science, Bachelor in Computer Science at Universidade Federal da Paraíba
Postdoc, Artificial Intelligence, Postdoc, Artificial Intelligence at Massachusetts Institute of Technology
Pontifical Catholic University of Rio de Janeiro
Visiting PhD Student, Artificial Intelligence, Visiting PhD Student, Artificial Intelligence at King's College London
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Chrystinne Fernandes - Instructor, Department Of Biostatistics