Selected oral and poster presentations

Cammarata, L. Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging. Oral presentation delivered at the EMBO Workshop on Nuclear Mechanogenomics, Pula, Italy, April 2024.

Cammarata, L. Adhesome Receptor Clustering is Accompanied by the Colocalization of the Associated Genes in the Cell Nucleus. Poster presented at the EMBO Workshop on Nuclear Mechanogenomics, Pula, Italy, April 2024.

Cammarata, L. Adhesome receptor clustering is accompanied by the co-localization of adhesome genes in the cell nucleus. Oral presentation delivered at the 22nd International Conference on Systems Biology, Hartford, CT, October 2023.

Cammarata, L. Adhesome receptor clustering is accompanied by the co-localization of adhesome genes in the cell nucleus. Oral presentation delivered at the Broad Institute Cell Circuits and Epigenomics Seminar Series, Cambridge, MA, June 2022.

Cammarata, L. Network Global Testing: Phase Transitions and Power Enhancement. Oral presentation delivered at the Harvard Mini-Workshop on Algebraic Statistics, Cambridge, MA, April 2022.

Cammarata, L. Drug Repurposing Pipeline Using Overparametrized Representation Learning and Causality. Oral presentation delivered at Purdue University Data Science Week, West Lafayette, IN (virtual), November 2021.

Cammarata, L. Drug Repurposing Pipeline Using Overparametrized Representation Learning and Causality. Oral presentation delivered at Barcelona Supercomputing Center (BSC), Barcelona, Spain (virtual), September 2021.

Cammarata, L. Phase Transitions in Network Global Testing. Oral presentation delivered at Joint Statistical Meetings (JSM), virtual, August 2021.

Cammarata, L. and Radhakrishnan, A. Drug Repurposing Pipeline Using Overparametrized Representation Learning and Causality. Oral presentation delivered at Max Delbruck Centrum BIMSB Systems Biology Lecture series on “Multi-omics technology, computation and biology”, Berlin, Germany (virtual), July 2021.

Cammarata, L. and Radhakrishnan, A. Transport problems in biology: theoretical and applied insights. Oral presentation delivered at the Mila Biology + AI reading group, Montreal, Canada (virtual), June 2021.

Cammarata, L. and Belyaeva, A. Causal Network Models of SARS-CoV-2 Expression and Aging to Identify Candidates for Drug Repurposing. Oral presentation delivered at Machine Learning in Computational Biology (MLCB), virtual, November 2020.

Cammarata, L. COMET: Combinatorial Marker Detection from Single-Cell Transcriptomic Data. Spotlight oral presentation delivered at Machine Learning in Computational Biology (MLCB), Vancouver, Canada, December 2019.

Cammarata, L. COMET: Combinatorial Marker Detection from Single-Cell Transcriptomic Data. Poster presented at NeurIPS, Vancouver, Canada, December 2019.

Cammarata, L. COMET: Combinatorial Marker Detection from Single-Cell Transcriptomic Data. Poster presented at Next-Generation Genomics Conference, New York City, NY, August 2019.

Cammarata, L. COMET: Combinatorial Marker Detection from Single-Cell Transcriptomic Data. Poster presented at Keystone Symposia on Cancer Immunotherapy: Mechanistic Insights to Improve Clinical Benefits (C2), Whistler, Canada, March 2019.

Cammarata, L. Inferring Total Queueing Time Using Only Elapsed Time to Date. Oral presentation delivered at INFORMS Annual Meeting, Houston, TX, October 2017.