Photo: Sylvain Crouzet
I am a Professor
Department of Mathematics
University of Wisconsin-Madison,
where I belong to the
I am also a member of the
Institute for Foundations of Data Science (IFDS),
I have an affiliate appointment in the
Department of Statistics and
I am affiliated with the Theory of Computing Group
Department of Computer Sciences.
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),
and a Simons Fellowship.
I am an associate editor for the
Annals of Applied Probability.
Submit a paper
Oct 2018: Our recent work with Karl Rohe on respondent-driven sampling has just appeared
Apr 2018: Our paper "Circular Networks from Distorted
Metrics" with former Ph.D. student Jason Wang won Best Paper Award at RECOMB 2018.
Apr 2018: 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: I am grateful to the Simons Foundation for supporting my upcoming
sabbatical (2018-2019) through a Simons Fellowship.
Jan 2018: 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: The 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.
Fall 2018 and Spring 2019: on sabbatical
Lecture notes and tutorials
Graduate course on
modern discrete probability
Topics course on
in evolutionary genetics
First year of
graduate probability theory
Brief survey of
sequence-length requirements in phylogenetics
Summer school slides on
probability on graphs with applications to data science
Tutorial slides on
Selected Publications (full list here)
Generalized least squares can overcome the critical threshold in respondent-driven sampling
Proceedings of the National Academy of Sciences, 115(41):10299-10304, 2018. With Karl Rohe.
Circular Networks from Distorted Metrics
Proceedings of RECOMB 2018, 167-176. With J. Wang.
(Best Paper Award
, RECOMB 2018)
Distance-based species tree estimation
under the coalescent: information-theoretic trade-off between number of loci and sequence length
Ann. Appl. Probab., 27(5)-2926-2955, 2017. With E. Mossel.
Conference abstract in Proceedings of RANDOM 2015, 931-942.
Phase transition in the sample complexity of likelihood-based
Probability Theory and Related Fields, 169(1), 3-62, 2017. With A. Sly.
Species trees from gene trees despite a high rate of lateral genetic
transfer: A tight bound
Proceedings of ACM-SIAM SODA 2016, 1621-1630. With C. Daskalakis.
On the robustness to gene tree estimation error (or lack thereof) of
coalescent-based species tree methods
Systematic Biology, 64(4):663--676, 2015. With T. Warnow.
Likelihood-based tree reconstruction on a concatenation of aligned
sequence data sets can be statistically inconsistent
Theoretical Population Biology, 100:56-62, 2015. With M. Steel.
(Honorable Mention, 2018
Marcus W. Feldman Prize
in Theoretical Population Biology.)
Alignment-Free Phylogenetic Reconstruction: Sample Complexity via a Branching Process Analysis
Annals of Applied Probability, 23(2):693-721, 2013. With C. Daskalakis.
Conference abstract in Proceedings of RECOMB 2010, 123-137.
Submodularity of Influence in Social Networks: From Local to Global
SIAM J. Comput., 39(6):2176-2188, 2010.
With E. Mossel.
Conference abstract in Proceedings of ACM STOC 2007, 128-134.
Toward Extracting All Phylogenetic Information from Matrices of Evolutionary Distances
Science, 327(5971):1376 - 1379, 2010. (Posted by permission of the AAAS for personal use, not for redistribution.)
Upstream Reciprocity and the Evolution of Gratitude
A Short Proof that Phylogenetic Tree Reconstruction by Maximum Likelihood is Hard
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3(1):92-94, 2006.
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