Tiffany Y. Y. Lo

Postdoctoral fellow · Department of Mathematics · Stockholm University

Google Scholar ORCID
Tiffany Y. Y. Lo

About

I am a researcher working in probability theory. I am currently a postdoc at Stockholm University, supported by the Sverker Lerheden Foundation. My mentors are Maria Deijfen and Daniel Ahlberg. Before this I was a postdoc at Uppsala University with Cecilia Holmgren and Svante Janson, and I completed my PhD at the University of Melbourne under Nathan Ross.

Much of my work concerns fluctuations emerging from random structures such as evolving random graphs and percolation models, where the relevant quantities are often sums with long-range dependence. A tool that I frequently reach for is Stein's method. More broadly, I am also interested in graph limits and their interplay with structural properties.

Preprints

  1. Graphon colourings and limits of graph partitions With S. Janson, C. McDiarmid, A. Skeja and F. Skerman · arXiv
  2. Gaussian fluctuations in mean field stable matchings With D. Ahlberg and M. Deijfen (2025) · in revision in Electronic Journal of Probability · arXiv
  3. Isolated vertices in two duplication–divergence models with edge deletion With G. Reinert and R. Zhang (2025) · in revision in ALEA arXiv
  4. The number of descendants in a preferential attachment graph With S. Janson (2024) · in revision in Random Structures & Algorithms · arXiv

Published papers

  1. Approximation of subgraph counts in the uniform attachment model With J. Björklund, C. Holmgren and S. Janson (2025) · Combinatorics, Probability and Computing 34, 90–114
  2. Properties of the 'friend of a friend' model for network growth With W. Levens and D. J. T. Sumpter (2024) · Journal of Complex Networks 12
  3. On the rate of normal approximation for Poisson continuum percolation With A. Xia (2024) · Statistics and Probability Letters 210
  4. Local weak limit of preferential attachment random trees with additive fitness 2024 · Advances in Applied Probability 56, 785–824 · see also the Applied Probability Trust collection on preferential attachment networks
  5. The expected degree distribution in transient duplication–divergence models With A. D. Barbour (2022) · ALEA 19, 69–107

Talks

Teaching

Introduction to Stein's method
Instructor · Stockholm University
Statistics for Engineers
Teaching assistant · Uppsala University
Stochastic Modelling · Statistics · Probability for Statistics · Methods of Mathematical Statistics · A First Course in Statistical Learning
Tutor, 2018–2022 · University of Melbourne
Mini-courses, Probability reading group
Instructor · University of Melbourne
The Foster–Lyapunov–Tweedie approach for classifying discrete time Markov chains (2021)
A construction of the Dirichlet process (2020)
A simple proof of de Finetti's theorem for 0–1 valued exchangeable random variables (2019)

Contact

firstname.y.y.lastname@math.su.se
Room B1359, Albano, Albanovägen 28
Stockholm University, Stockholm