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Julia Gaudio

McCormick School of Engineering and Applied Math, The Graduate School

Assistant Professor

About

Areas of Focus

  • Foundations of data science and machine learning
  • Networks
  • Probability
  • Statistics

Work/Research

  • Finding hidden structure in networks
  • Estimation problems in large datasets
  • Analysis of random networks
  • Efficient algorithms on networks

Career

Gaudio earned her Ph.D. in 2020 from the MIT Operations Research Center. She then spent a year in the MIT Mathematics Department as an applied mathematics instructor, working with Elchanan Mossel. Gaudio joined the Industrial Engineering and Management Sciences Department at Northwestern in 2021 and holds a courtesy appointment in the Computer Science Department. She is a member of the Institute for Data, Econometrics, Algorithms and Learning (IDEAL), a multi-university organization dedicated to the foundations of data science.