Photo: Sylvain Crouzet

I am a Professor in the Department of Mathematics at the University of Wisconsin-Madison, where I belong to the Probability Group and Applied Mathematics Group. I have an affiliate appointment in the Department of Statistics and I am also affiliated with the Theory of Computing Group in the Department of Computer Sciences. I can often be found at the Wisconsin Institute for Discovery.

I am on the executive committee of the Institute for Foundations of Data Science (IFDS), a collaboration with the University of Washington, the University of California, Santa Cruz, and the University of Chicago, funded through the NSF TRIPODS Phase II program.

I work at the intersection of **applied probability**,
**statistics** and
**theoretical computer science**, with an emphasis on **biological
applications**.
More details on my research interests and
publications can be found
here.
My work is currently supported by NSF grants
DMS-2023239 (TRIPODS Phase II)
and
DMS-2308495.
My CV
is
here.

arXiv, Google Scholar, dblp, PubMed, ORCID, Math Genealogy, Math Alliance

Sep 2023: I am starting a three-year term on the Academic Planning Council of the College of Letters and Science.

Aug 2023: I have a new NSF grant.

May 2023: My Ph.D. student Yu Sun successfully defended his thesis. Congratulations!

Mar 2023: Our new course MATH 444: Graphs and Networks in Data Science, developed jointly with Hanbaek Lyu, has been approved and will be offered in Fall 2023.

Jan 2023: My Ph.D. student Shuqi Yu successfully defended her thesis. Congratulations!

Jul 2022: Our proposal for a semester-long program on Meeting the Genomics Data Challenge: Theory, Methods, and Applications of Quantitative Phylogenomics at the Institute for Computational and Experimental Research in Mathematics (ICERM) has been approved. The program (led by Elizabeth Allman and Laura Kubatko) will take place Fall 2024. More details to come.

Apr 2022: I was named Fellow of the Institute of Mathematical Statistics (IMS).

Apr 2022: This Spring, I have been mentoring an amazing team of undergraduate students through the Madison Experimental Mathematics Lab. They will present their project, entitled Shedding Light on Unexplained Behavior of Phylogeny Estimation Methods, at an open house on Tuesday, May 3 from 2-5pm in Van Vleck 911 (the 9th floor lounge).

Feb 2022: I am on the Program Committee of WABI 2022: Workshop on Algorithms in Bioinformatics. The submission deadline is May 18, 2022.

Dec 2021: Our proposal for a month-long program on Mathematics of Evolution-Phylogenetic Trees and Networks at the Institute for Mathematical Sciences (IMS) of the National University of Singapore (NUS) has been funded. The program (led by Louxin Zhang and Daniel Huson) will take place 5 Sep 2023 to 29 Sep 2023. More details to come.

Aug 2021: I will teach the newly created graduate course MATH/ECE/STAT 888 - Topics in Mathematical Data Science this Fall for the first time. The topic in Fall 2021 is "High-Dimensional Probability and Statistics: Non-Asymptotic Theory."

For previous news, see here.

Fall 2023: MATH 833 - Modern Discrete Probability [Topics in Probability]

Spring 2023: MATH 632 - Introduction to stochastic processes

Topics course on high-dimensional probability and statistics

Advanced undergraduate course on the mathematics of data

Graduate course on modern discrete probability

Topics course on stochastic processes in evolutionary genetics

First year of graduate probability theory

Brief survey of mathematical phylogenetics

Tutorial on sequence-length requirements in phylogenetics

Summer school slides on probability on graphs with applications to data science

Tutorial slides on mathematical phylogenomics

Species tree estimation under joint modeling of coalescence and duplication:
sample complexity of quartet methods

Annals of Applied Probability, 32(6): 4681-4705, 2022. With Max Hill and Brandon Legried.

Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss

Journal of Computational Biology, 28(5):452-468. With Brandon Legried, Erin Molloy, and Tandy Warnow.

Conference version in Proceedings of RECOMB 2020, 120-135.

Conference version in Proceedings of RECOMB 2020, 120-135.

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)

(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.

Conference abstract in Proceedings of RANDOM 2015, 931-942.

Phase transition in the sample complexity of likelihood-based
phylogeny inference

Probability Theory and Related Fields, 169(1), 3-62, 2017. With A. Sly.

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.)

(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.

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.

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.)

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

Phone: 608-263-3053

Fax: 608-263-8891

lastname[at]math[dot]wisc[dot]edu

Phone: 608-263-3053

Fax: 608-263-8891

lastname[at]math[dot]wisc[dot]edu

Department of Mathematics

University of Wisconsin-Madison

480 Lincoln Drive

Madison, WI 53706

University of Wisconsin-Madison

480 Lincoln Drive

Madison, WI 53706