Presentations

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Mapping the Mechanistic Impact of Genetic Variation with Interpretable Deep Learning”, September 17, 2025, AI in Molecular Biology Keystone Symposia, Sante Fe, NM.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Decoding the Mechanistic Impact of Genetic Variation on Regulatory Sequences with Deep Learning”, September 10, 2025. The 20th Machine Learning in Computational Biology (MLCB) meeting, New York Genome Center, NYC.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Mapping the Mechanistic Impact of Genetic Variation with Interpretable Deep Learning”, Gordon Research Conference and Gordon Research Seminar, July 2025.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Decoding the mechanistic impact of genetic variation on regulatory sequences with deep learning”, Biology of Genomes, May 2025.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Decoding the Mechanistic Impact of Genetic Variation on Regulatory Sequences with Deep Learning”, ICLR 2025 Workshop on Generative and Experimental Perspectives for Biomolecular Design, Singapore, April 2025.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Deciphering the determinants of mechanistic variation in regulatory sequences”, Probabilistic Modeling in Genomics, March 2025.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “Deciphering the determinants of mechanistic variation in regulatory sequences”, Biological Data Science, November 2024.

Evan E Seitz, David M McCandlish, Justin B Kinney and Peter K Koo. “A surrogate modeling framework for interpreting deep neural networks in functional genomics”, Genome Informatics, December 2023.

Evan E Seitz, Justin B Kinney and Peter K Koo. “A surrogate modeling framework for interpreting deep neural networks in functional genomics”, Biology of Genomes, May 2023.