Mathematical and Computational Methods in Cancer and Biology Symposium
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The importance of the mathematical and computational sciences and technological developments in driving fundamental discoveries in cancer biology and many other biological fields is now widely acknowledged. To highlight the latest research in those areas, the IICD is planning a symposium titled "Mathematical and Computational Methods in Cancer and Biology." The symposium will also be an occasion to celebrate two milestones: Simon Tavaré’s 70th birthday and the 5th anniversary of the Irving Institute for Cancer Dynamics. Further details to be announced.
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Next Speaker in the IICD Seminar Series
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A Unified Framework for Realistic in Silico Data Generation and Statistical Model Inference in Single-Cell and Spatial Omics
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Hosted by Karol Nowicki-Osuch, PhD
Date: October 19, 2022 at 2 PM (ET)
Location: Schermerhorn Hall 603 and via Zoom
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Congratulations to Dr. Benjamin Izar (Assistant Professor of Medicine) who was recently awarded an R01 grant from the National Cancer Institute for his project titled “The role of the CD58:CD2 axis in cancer immune evasion and resistance to immunotherapy.” IICD Faculty Elham Azizi is a co-investigator on the project.
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Karol Nowicki-Osuch, together with collaborators at the Irving Medical School (Adam Bass, Sandra Ryeom) and the NYGC (Silas Maniatis), has received a multi-PI R01 grant. The project aims to combine novel single-cell sequencing and spatial transcriptomics approaches with innovative model organisms to study the early stages of gastric cancer development. Read more.
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Mackenzie Sky, a senior in biology (cellular/molecular biology) and chemistry at SUNY Purchase who took part in the IICD Summer Research Program, shares about her research experience at IICD in Dr. José L. McFaline-Figueroa’s lab and her path to science. Read the featured article published by SUNY Purchase College news here.
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IICD Team at Velocity: Columbia's Ride to End Cancer
The IICD Velocity team completed a 5.7 miles hike in Cold Spring on September 24th to show their support to Velocity: Columbia’s Ride to End Cancer. The team raised over $1200 to support the life-saving research and comprehensive care for patients and their families at the Herbert Irving Comprehensive Cancer Center (HICCC).
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IICD Welcomes Four New Members
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Ioana Lia is a PhD student in Biomedical Engineering. Ioana completed undergraduate degrees in Applied Mathematics and Biomedical Engineering at Columbia. After working on engineering bacteria to treat cancer (Danino lab), she will use single cell genomics and machine learning methods to gain insight into the disease progression and treatment response in cancer in the Azizi and McFaline-Figueroa labs.
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Judah Engel is a junior in Columbia College double majoring in biophysics and computer science. He is mentored by Drs. Simon Tavaré and Khanh N. Dinh in the Irving Institute for Cancer Dynamics where he works on modeling the evolution of high-grade ovarian cancer using various statistical and computational techniques.
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Justin Hong is a PhD student in Computer Science. He completed his BS and MS at UC Berkeley where he studied Computer Science & Molecular and Cellular Biology with an emphasis in Immunology. Justin has experience developing methods for single-cell data analysis in the Song and the Yosef Labs at UC Berkeley. He will develop computational methods to uncover valuable biological insights (Azizi Lab).
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Kevin Hoffer-Hawlik graduated from Dartmouth College with a BA in Biomedical Engineering with High Honors and is an entering MS/PhD student in Biomedical Engineering. Kevin is interested in advancing novel therapeutics in cancer and other intractable diseases. He joins the Azizi and McFaline-Figueroa labs to further their work in machine learning and cancer biology dynamics.
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Recent Publications from IICD Researchers
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Adjusting for Indirectly Measured Confounding Using Large-Scale Propensity Score. Zhang, L.; Wang, Y.; Schuemie, M. J.; Blei, D. M.; Hripcsak, G. J. Biomed. Inform. 2022, 134, 104204.
Cross-Platform Analysis Reveals Cellular and Molecular Landscape of Glioblastoma Invasion. Chen, A. T.; Xiao, Y.; Tang, X.; Baqri, M.; Gao, X.; Reschke, M.; Sheu, W. C.; Long, G.; Zhou, Y.; Deng, G.; Zhang, S.; Deng, Y.; Bai, Z.; Kim, D.; Huttner, A.; Kunes, R.; Gunel, M.; Moliterno, J.; Saltzman, W. M.; Fan, R.; Zhou, J. Neuro Oncol 2022, in press.
Pharmacological Inhibition of NT5C2 Reverses Genetic and Non-Genetic Drivers of 6-MP Resistance in Acute Lymphoblastic Leukemia. Reglero, C.; Dieck, C. L.; Zask, A.; Forouhar, F.; Laurent, A. P.; Lin, W. W.; Albero, R.; Miller, H. I.; Ma, C.; Gastier-Foster, J. M.; Loh, M. L.; Tong, L.; Stockwell, B. R.; Palomero, T.; Ferrando, A. A. Cancer Discov. 2022, in press.
Multimodal Integration of Radiology, Pathology and Genomics for Prediction of Response to PD-(L)1 Blockade in Patients with Non-small Cell Lung Cancer. Vanguri, R. S.; Luo, J.; Aukerman, A. T.; Egger, J. V.; Fong, C. J.; Horvat, N.; Pagano, A.; Araujo-Filho, J. A. B.; Geneslaw, L.; Rizvi, H.; Sosa, R.; Boehm, K. M.; Yang, S. R.; Bodd, F. M.; Ventura, K.; Hollmann, T. J.; Ginsberg, M. S.; Gao, J.; MSK MIND Consortium; Hellmann, M. D.; Sauter, J. L.; Shah, S. P. Nat. Cancer 2022, in press.
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