Ilan ShomoronyI am an assistant professor in the ECE department at the University of Illinois at Urbana-Champaign. My main research interests are in information theory, machine learning, and computational biology. Prior to joining UIUC, I spent a year as a data scientist at Human Longevity. |
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news
| June 16, 2025 |
I am excited to be one of the speakers at the 2025 North American School of Information Theory! The school will take place at the University of Minnesota from 6/16 to 6/20. Full schedule and registration information for students can be found here. |
| April 30, 2025 | I gave a talk at the Caltech EE Systems Seminar. |
| April 16, 2025 | I gave a talk at the Purdue Center for Science of Information. |
| April 11, 2025 | My student Kayvon Mazooji successfully defended his PhD thesis. Congrats, Kayvon! |
| April 11, 2025 |
Three papers accepted to ISIT 2025:
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| March 14, 2025 | I gave a talk at the UCSD Center for Memory and Recording Research. |
| Feb 14, 2025 | I gave a talk at ITA titled "Can coding reduce fragmentation in deduplicated storage systems?". (slides) |
| Jan 28, 2025 | I gave a talk at the USC ECE Seminar. |
| Jan 27, 2025 | I gave a talk at the UCLA ECE Seminar. |
| Jan 22, 2025 | Paper "Dynamic DBSCAN with Euler Tour Sequences" with my student Seiyun Shin and collaborator Peter Macgregor accepted to AISTATS 2025 |
| Dec 5, 2024 | I gave a talk at the University of Minnesota ECE Colloquium. |
| Sept 20, 2024 | Paper "Prioritized Federated Learning: Leveraging Non-Priority Clients for Targeted Model Improvement" with my student Aditya Ravi accepted to the Transactions on Machine Learning Research |
| June 6, 2024 | Paper "Substring Density Estimation from Traces" with my student Kayvon Mazooji accepted to the IEEE Transactions on Information Theory |
| May 21, 2024 | Paper "An Information Theory for Out-of-Order Media With Applications in DNA Data Storage" with Aditya Ravi and Alireza Vahid published in a special issue of the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications |
| May 1, 2024 | Paper "Faster Maximum Inner Product Search in High Dimensions" with my Mo Tiwari et al. accepted to ICML 2024 |
| Apr 2, 2024 | Paper "Fast Multiple Sequence Alignment via Multi-Armed Bandits" with my student Kayvon Mazooji accepted to ISMB 2024 |
| Mar 29, 2024 | Paper "Fundamental Limits of Reference-Based Sequence Reordering" with Nir Weinberger published at IEEE Transactions on Information Theory |
| Nov 15, 2023 | My student Grant Greenberg successfully defended his PhD thesis. Congrats, Grant! |
| Nov 15, 2023 | Paper "The Metagenomic Binning Problem: Clustering Markov Sequences" with my student Grant Greenberg published at the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications |
| Nov 15, 2023 | Paper "DNA Merge-Sort: A Family of Nested Varshamov-Tenengolts Reassembly Codes for Out-of-Order Media" with Sajjad Nassirpour and Alireza Vahid published at IEEE Transactions on Communications |
| Oct 25, 2023 | Paper "LexicHash: sequence similarity estimation via lexicographic comparison of hashes" with my students Grant Greenberg and Aditya Ravi published in Bioinformatics |
| Sep 21, 2023 |
Two papers accepted to NeurIPS 2023:
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| April 20, 2023 | Two of my students, Seiyun Shin and Kel Levick, selected as Mavis Future Faculty Fellows! |
| April 14, 2023 |
Five papers accepted to ISIT 2023:
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| April 5, 2023 | I am one of the organizers of the 6th Health Data Analytics Summit. It is a fully online event and you can register for free here! |
| Mar 16, 2023 | I gave a talk at the Stanford ISL Colloquium on "An Information Theory for Out-of-Order Information" (Slides) |
| Feb 14, 2023 | I gave an invited talk at ITA on the adaptive power method. (Slides) |
| Dec 21, 2022 | Paper "Adaptive power method: Eigenvector estimation from sampled data" with Han Zhao and our student Seiyun Shin accepted to the conference on Algorithmic Learning Theory (ALT) |
| Dec 20, 2022 | I wrote a preview article on "Data-driven precision medicine through the analysis of biological functional modules" for Cell Reports Medicine. |
| Nov 2, 2022 | Paper "CVQVAE: A representation learning method for multiomics single cell data integration" with students Tianyu Liu and Grant Greenberg accepted as a spotlight in the Machine Learning in Computational Biology (MLCB) meeting |
| Sep 14, 2022 | Paper "MABSplit: Faster Forest Training Using Multi-Armed Bandits" with Mo Tiwari et al. accepted to to NeurIPS 2022 |
| June 7, 2022 | Paper “Improving Bacterial Genome Assembly Using a Test of Strand Orientation” with my student Grant Greenberg accepted to ECCB 2022 |
| May 17, 2022 |
Two papers accepted to ISIT 2022:
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| April 19, 2022 | Paper A Game-Theoretically Optimal Defense Paradigm against Traffic Analysis Attacks using MultiPath Routing and Deception with Masoumeh Abolfathi et al. accepted to SACMAT 2022 |
| Mar 1, 2022 | Paper “JIND: Joint Integration and Discrimination for Automated Single-Cell Annotation” with Mohit Goyal et al. published at Bioinformatics |
| Feb 24, 2022 | Our Foundations and Trends monograph "Information-Theoretic Foundations of DNA Data Storage" is out! |
| Feb 18, 2022 | Paper "Coded Shotgun Sequencing" with my student Aditya Ravi published at the IEEE Journal on Selected Areas in Information Theory |
| Jan 18, 2022 | I'm teaching a new course ECE598IS: Fundamental Limits in Data Science |
| Jan 11, 2022 | Paper "Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes" with my student Kel Levick accepted to CISS 2022 |
| Sept 23, 2021 | Paper "Torn-Paper Coding" with Alireza Vahid accepted to IEEE Transactions on Information Theory |
| April 30, 2021 |
Two papers accepted to ISIT 2021:
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| Jan 26, 2021 | Paper “DNA-Based Storage: Models and Fundamental Limits” with Reinhard Heckel accepted to IEEE Transactions on Information Theory |
| Jan 4, 2021 | I was awarded the NSF CAREER Award! |
| Dec 22, 2020 | Paper “Private DNA Sequencing: Hiding Information in Discrete Noise” with my student Kayvon Mazooji and collaborator Roy Dong accepted to ITW 2020 (preprint). |
| Sep 25, 2020 | Two papers accepted to NeurIPS 2020: |
| Aug 16, 2020 | Paper “Communicating over the Torn-Paper Channel” with Alireza Vahid accepted to Globecom 2020. A longer version of the paper is available here. |
| Jul 31, 2020 | Paper “Spectral Jaccard Similarity: A new approach to estimating pairwise sequence alignments” published at Cell Patterns (open access). |
| May 6, 2020 | Paper “Capacity of the Erasure Shuffling Channel” with my student Seiyun Shin was presented at ICASSP 2020 as part of a special session on “Signal Processing and Coding for Macromolecular Storage and Computing”. |
| Feb 4, 2020 | I gave an invited talk at the ITA Workshop on “Pairwise alignment of DNA sequences via spectral Jaccard similarity” (Manuscript) |
| Jan 10, 2020 | Paper “An unsupervised learning approach to identify novel signatures of health and disease from multimodal data” with collaborators from Human Longevity is now published on Genome Medicine. |
| Dec 23, 2019 | Paper “Spectral Jaccard Similarity: A new approach to estimating pairwise sequence alignments” accepted to RECOMB 2020 (bioRxiv preprint). |
| Jun 13, 2019 | Paper “The Metagenomic Binning Problem: Clustering Markov Sequences” with my student Grant Greenberg to be presented at ITW 2019 (Manuscript). |
| May 22, 2019 | Paper “Capacity Results for the Noisy Shuffling Channel” with Reinhard Heckel to be presented at ISIT 2019 (Manuscript). |
| Mar 21, 2019 | I organized a session on “Computational Methods for Genomics and Biological Data” at CISS 2019. |