{"664890":{"#nid":"664890","#data":{"type":"event","title":"The School of Biological Sciences Spring 2023 Seminar Series presents Dr. Jorge Zanudo","body":[{"value":"\u003Cdiv\u003E\u003Cstrong\u003EJorge Zanudo, Ph.D.\u003C\/strong\u003E\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u003Cstrong\u003EInstructor (Dana-Farber Cancer Institute)\u003C\/strong\u003E\u003C\/div\u003E\r\n\r\n\u003Cdiv\u003E\u003Cstrong\u003EComputational Scientist (Broad Institute)\u003C\/strong\u003E\u003C\/div\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ELive via Zoom\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EMathematical modeling and genomics of cancer networks: applications to drug resistance and transcriptional reprogramming\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHow does the intracellular network of cancer cells give\u0026nbsp;rise to the changes in cell state that lead to drug resistance and transcriptional reprogramming? In this talk, I will tell you about how we have tackled this question using approaches from the fields of systems biology (by iterating mathematical models and experiments), mathematical modeling \/ network theory (by developing computational\u0026nbsp;methods to analyze models), and cancer genomics (by analyzing multi-omic datasets with rich clinical annotations). In particular, I will talk about three projects, one for each of these approaches. In the first, we built and experimentally tested a model of the signaling network\u0026nbsp;underlying resistance to PI3K-alpha inhibitors in breast cancer. In the second, we developed a network theory framework to identify controller nodes in a mathematical model. In the third, we identified genomic and transcriptomic drivers of resistance to CDK4\/6 inhibitors in metastatic breast cancer. Finally, I will give a brief overview of my proposed research program on leveraging both mathematical modeling and cancer genomics to study drug resistance in breast cancer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EHost: Dr. Greg Gibson\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Mathematical modeling and genomics of cancer networks: applications to drug resistance and transcriptional reprogramming"}],"uid":"36416","created_gmt":"2023-01-19 09:16:25","changed_gmt":"2023-01-23 15:45:57","author":"fsteward3","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-02-07T11:00:00-05:00","event_time_end":"2023-02-07T12:11:00-05:00","event_time_end_last":"2023-02-07T12:11:00-05:00","gmt_time_start":"2023-02-07 16:00:00","gmt_time_end":"2023-02-07 17:11:00","gmt_time_end_last":"2023-02-07 17:11:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"664891":{"id":"664891","type":"image","title":"Dr. Jorge Zanudo","body":null,"created":"1674120081","gmt_created":"2023-01-19 09:21:21","changed":"1674120081","gmt_changed":"2023-01-19 09:21:21","alt":"","file":{"fid":"251518","name":"Dr. Jorge Zanudo.jpeg","image_path":"\/sites\/default\/files\/images\/Dr.%20Jorge%20Zanudo.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Dr.%20Jorge%20Zanudo.jpeg","mime":"image\/jpeg","size":272163,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Dr.%20Jorge%20Zanudo.jpeg?itok=OOCiZlcL"}}},"media_ids":["664891"],"groups":[{"id":"1275","name":"School of Biological Sciences"}],"categories":[],"keywords":[{"id":"188689","name":"Biological Sciences Seminar"},{"id":"166882","name":"School of Biological Sciences"},{"id":"191930","name":"Zando"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}