Photo: Sylvain Crouzet
I am a Professor
Department of Mathematics
University of Wisconsin-Madison,
where I am affiliated with the
Group and the
I am also involved with the
Institute for Foundations of Data Science (IFDS).
can be found
I work at the intersection of applied probability,
theoretical computer science, with an emphasis on biological
More details on my research interests and
publications can be found
My work is currently supported by NSF grants
and CCF-1740707 (TRIPODS).
I am an associate editor for the
Annals of Applied Probability.
Submit a paper
Apr 2018: Best Paper Award - My paper "Circular Networks from Distorted
Metrics" with former Ph.D. student Jason Wang won Best Paper Award at RECOMB 2018.
Apr 2018: TRIPODS Summer School on Fundamentals of Data Analysis -
The Institute for Foundations of Data Science at UW-Madison,
with the NSF TRIPODS Institutes at the University of Washington and at the University of California-Berkeley, is
organizing a summer school on July 24-28, 2018 in Madison. Apply
by April 20 here.
Mar 2018: Simons Fellowship - I am grateful to the Simons Foundation for supporting my upcoming
sabbatical (2018-2019) through a Simons Fellowship.
Jan 2018: Honorable Mention - My paper with Mike Steel on "Likelihood-based
tree reconstruction on a concatenation of aligned
sequence data sets can be statistically inconsistent" received
Honorable Mention in the 2018
Marcus W. Feldman Prize in Theoretical Population Biology.
Aug 2017: New Data Science Institute - Our new Institute for Foundations of Data Science
has been funded through the NSF TRIPODS
and NSF Growing Convergence Research
programs. More details here
The website of IFDS is here.
Spring 2018: MATH 734 - Theory of Probability II
A graduate course in
modern discrete probability
A topics course on
in evolutionary genetics
The first year of
graduate probability theory
Recent Preprints (full list here)
Circular Networks from Distorted Metrics
Proceedings of RECOMB 2018. With J. Wang.
(Winner of Best Paper Award at RECOMB 2018)
Long-branch attraction in species tree estimation: inconsistency of
partitioned likelihood and topology-based summary methods
Preprint, 2018. With Sebastien Roch and Michael Nute and Tandy Warnow.
Book review of "Phylogeny-Discrete and random processes in evolution by Mike Steel"
To appear in Bulletin of the AMS, 2018.
Geometry of the sample frequency spectrum and the perils of demographic inference
Preprint, 2017. With Zvi Rosen, Anand Bhaskar, Yun S. Song.
Generalized least squares can overcome the critical threshold in respondent-driven sampling
Preprint, 2017. With Karl Rohe.
Critical threshold for ancestral reconstruction by maximum parsimony on general
Preprint, 2017. With Jason Wang.
Coalescent-based species tree estimation: a stochastic Farris transform
Preprint, 2017. With Gautam Dasarathy, Elchanan Mossel, Robert Nowak.
Efficient and consistent inference of ancestral sequences in an evolutionary model
with insertions and deletions under dense taxon sampling
Preprint, 2017. With L. Fan.
Necessary and sufficient conditions for consistent root reconstruction in Markov models
To appear in Electronic Journal of Probability, 2018. With L. Fan.
Species tree estimation using ASTRAL: how many genes are enough?
To appear in IEEE TCBB, 2017. With S. Shekhar and S. Mirarab.
Conference abstract in Proceedings of RECOMB 2017, 393-395.
Species trees are recoverable from unrooted gene tree topologies under a constant rate of
horizontal gene transfer
Preprint, 2017. With C. Daskalakis.
A full list of publications is available here.
Office: Van Vleck 823
Department of Mathematics
University of Wisconsin-Madison
480 Lincoln Drive
Madison, WI 53706