I am an assistant professor at the Wisconsin Institute for Discovery and the Department of Plant Pathology at the University of Wisconsin-Madison. Originally from Mexico City, I did my Undergraduate degrees in Actuarial Sciences and Applied Mathematics at ITAM. Then, I did a MA in Mathematics and a PhD in Statistics at the University of Wisconsin-Madison. In my spare time, I enjoy swimming, running, biking, climbing and yoga!
Name pronunciation: namedrop.io/claudiasolislemus
Office 476 Department of Plant Pathology
University of Wisconsin-Madison
Madison, WI 53715
Phone: (608) 316-4568
Affiliations at UW-Madison: Department of Statistics, Department of Mathematics, Department of Biostatistics and Medical Informatics, JF Crow Institute for the Study of Evolution, Quantitative Biology Initiative, Center for Genomic Science Innovation
- Sam Ozminkowski (MS Statistics, UW-Madison 2022). He worked on Bayesian models with network predictors, specifically focusing on microbiome networks. He is pursuing his PhD in Statistics at Northwestern University.
- Fardeen Meeran (BS Computer Science, UW-Madison 2022). He worked in a web app to visualize phylogenetic networks.
- Zhaoyi Zhang (BS Computer Science, Data Science, Mathematics, UW-Madison 2022). He tested the applicability of deep neural networks to genomic datasets to predict important phenotypes. He will work as a Software Engineer at Oracle after graduation.
- Elaine Wu (BS Computer Science, UW-Madison 2022) is currently a MS student in Carnegie Mellon.
- Yunyi Shen (MS Statistics, Wildlife Ecology, UW-Madison 2021) worked on graphical selection of Gaussian chain graph models using Bayesian LASSO and Spike-and-Slab LASSO methods, their theories, interpretations and applications in microbiome. He is attending EECS PhD program at MIT affiliated with LIDS.
- Nicole Athanasiou (BS Applied Mathematics, Statistics, Environmental Studies, UW-Madison 2021) created interactive web application for biologists to determine their sample size in experiments.
- Shengwen Yang (MS Data Science, UW-Madison 2021) worked on the symmetry preserving Neural Network models for phylogenetic inference.
- Yuren Sun (BS Computer Science, Mathematics, and Economics, UW-Madison 2021) worked on the applications of neural network models in the classifications of animals and pseudomonas sequence data. She will attend MSCS program at Stanford University in Fall 2022.
- Songyang Cheng (BBA, Information Systems + Computer Science, UW-Madison 2021). He tested the applicability of neural network models to microbial genomic datasets to predict important phenotypes like those related to antibiotic resistance. He is attending MEng EECS program at UC-Berkeley.
- Junting Wang (BS Statistics, UW-Madison 2020) is attending UMichigan at the Statistics PhD program
- Ritika Mittal (BS Computer Science, UW-Madison 2022) worked on user-friendly open-source software that would allow biologists to visualize complex phylogenetic networks.
- Lareina Liu (BS Statistics, UW-Madison 2020). She is starting ADS Masters Program at USC in Fall 2020
- Yizhou Liu (BS Computer Science + Mathematics, UW-Madison 2021) worked on user-friendly open-source software for WI Fast Plants. He is attending INI program at CMU
- Yifan Wu (BS Computer Engineering, UW-Madison 2020)
- Yuzheng Zhang (BS Computer Sciences, UW-Madison 2021)
- Liule Yang
- Zhiwen Xu
- Chunrong Huang
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