Cecilia Ferrando
Research Assistant in Machine Learning and Artificial Intelligence
University of Massachusetts, Amherst
I am a PhD student in the Manning College of Information and Computer Sciences at the University of Massachusetts, Amherst. My current research is on statistical inference under differential privacy. I'm broadly interested in statistical machine learning and privacy-preserving machine learning. I am fortunate to be advised by professor Daniel Sheldon.
Before starting my PhD, I obtained a MS in Computational Design at Carnegie Mellon University, where I was supported by the Fulbright Scholarship. Upon graduating from Carnegie Mellon, I worked as a Machine Learning Software Engineer at Cadence, Pittsburgh. In the past couple of years, I have worked as a Summer research intern at Google (2021) and Meta (2022).
Besides research and courses, I serve as Co-Chair of the PhD Applicant Support Program. In 2021, I also co-lead the organizing committee of Voices of Data Science at UMass Amherst 2021.
Interests
- Statistical machine learning
- Privacy-preserving machine learning
- Differential Privacy
Education
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PhD in Computer Science, 2025 (exp.)
University of Massachusetts, Amherst
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MS in Computational Design, focus on Machine Learning, 2018
Carnegie Mellon University
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BA+MA in Economics and Statistics, 2016
Collegio Carlo Alberto
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BSc+MSc in Architecture, 2015
Politecnico di Torino
