Shane Lubold


Ph.D. Candidate at the University of Washington

View My GitHub Profile

I am a PhD candidate in the statistics department at the University of Washington. I am advised by Tyler McCormick and Arun Chandrasekhar. Previously, I received my BS in math from Arizona State University. I have worked with Yen-Chi Chen in the UW stats department and Clark Taylor at the Air Force Research Lab. I am supported by an ARCS fellowship.

Here is an updated CV.


My research covers a host of network and data science topics, motivated primarily by questions in demography, developmental economics, sociology, machine learning, and conservation efforts.

Much of my work focuses on using sampled, incomplete, and noisy network data to learn features of unobserved networks and analyze how networks influence our behavior. I am interested in modeling standard sampled data types, such as respondent-driven sampling or aggregated relational data, to understand its uses and limitations. I also think about new data-driven ways of collecting network data to best address the researcher’s questions. Much of this work is inspired by interdisciplinary collaboration. Another part of my work focuses on learning the geometric properties of data, particularly network data, and using these properties to improve downstream tasks in machine learning.

Some of my current projects focus on

See my Google Scholar page and NBER profile for an up-to-date list of publications.


Teaching at UW

In the summer of 2021, I was the sole instructor for MATH/STAT 395: Probability II.

I have served as the TA for the following courses: