Program Information
The ITCR Trainee Virtual Symposium will be an opportunity for you to share your work with others, learn about cutting edge cancer informatics technologies, and network with trainees across the ITCR program.
The symposium will be free, and open to trainees in current and former ITCR-funded labs ranging from undergraduate through post-doctoral career stages. Active ITCR PIs will be asked to nominate at least one trainee from their research group as a speaker.
Welcome Keynote Speakers
DAY1: Jill Mesirov, Ph.D
Associate Vice Chancellor for Computational Health Sciences, Professor, Department of Medicine, co-Lead, Structural and Functional Genomics, Moores Cancer Center UC San Diego
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DAY 2: Nastaran Zahir, Ph.D.
Branch Director, Cancer Training Branch Center for Cancer Training, National Cancer Institute
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DAY 3: Anant Madabhushi, Ph.D., FAIMBE, FIEEE, FNAI
Robert W Woodruff Professor Wallace H. Coulter Department of Biomedical Engineering, and Departments of Radiology & Imaging Sciences, Biomedical Informatics, Urology, Radiation Oncology, Pathology, Computer Science & Informatics and Global Health. Executive Director, Emory Empathetic AI for Health Institute, Emory Empathetic AI for Health Institute, Georgia Institute of Technology and Emory University, Research Career Scientist, Atlanta Veterans Administration Medical Center
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CLICK HERE TO ACCESS THE ABSTRACTS
Please note, the times are Eastern Standard Time (EST)
DAY I. May 15 | |||
1:00 PM | National Cancer Institute | Opening of the ITCR Trainee Symposium | |
1:10 PM | Jill Mesirov | University of California San Diego | Keynote lecture: Computational Cancer Genomics: Applications, Methods, and Software |
1:50 PM | Emory University | Welcoming remarks | |
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Omics technologies across the cancer research continuum | |||
Chair: Ramon Ortiz, Ph.D., University of California San Francisco | |||
2:00 PM | Jens Luebeck | University of California San Diego | AmpliconSuite: Analyzing focal amplifications in cancer genomes |
2:10 PM | Anderson Bussing | University of South Carolina | FAST-scDECO: a flexible and adaptive scalable tool for single cell differential coexpression analysis |
2:20 PM | Ha Nguyen | Auburn University | DSCC: Disease Subtyping using Consensus Network and Multi-omics Data Integration |
2:30 PM | Farzan Taj | University of Toronto | A Deep Learning Foundation Model for Predicting Responses to Genetic and Chemical Perturbations in Single Cancer Cells |
2:40 PM | Alexander Wenzel | University of California San Diego | Data driven refinement of gene signatures for enrichment analysis and cell state characterization |
2:50 PM | BREAK |
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Chair: Zeynep Kosaloglu-Yalcin, Ph.D., La Jolla Institute for Immunology | |||
3:00 PM | Daniel Bergman | Johns Hopkins University | Integrating multi-omics analyses into agent-based models made easy: the Bioinformatics Walkthrough for PhysiCell |
3:10 PM | Sriya Potluri | University of Pennsylvania Perelman School of Medicine | ImmunoPheno: A Data-Driven Bioinformatics Platform for the Design and Analysis of Immunophenotyping Experiments |
3:20 PM | Selina Wu | University of California Los Angeles | Improving Tumour Subclonal Reconstruction via Phasing: A Case Study in Hereditary Leiomyomatosis and Renal Cell Cancer |
3:30 PM | Jaime Wehr | Johns Hopkins University | Precision oncology decision-support informatics approaches to match actionable genotypes with targeted therapies |
3:40 PM | Tushar Mandloi | EMBL-EBI | CancerModels.Org - an open global cancer research platform for patient-derived cancer models. |
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DAY II. May 16 | |||
1:00 PM | National Cancer Institute | Keynote lecture: NCI Opportunities for Early Career Cancer Researchers | |
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Flash talks | |||
Chair: Debolina Chatterjee, Ph.D., Indiana University | |||
1:40 PM | Ino de Bruijn | Memorial Sloan Kettering Cancer Center | cBioPortal for Cancer Genomics |
1:43 PM | My Hoang | Washington University in Saint Louis | pVACsplice: a bioinformatics tool for detecting and prioritizing tumor-specific splicing-derived neoantigen |
1:46 PM | Shan He | MD Anderson Cancer Center | Elucidating immune-related gene transcriptional programs via factorization of large-scale RNA-profiles |
1:49 PM | Zeynep Kosaloglu-Yalcin | La Jolla Institute for Immunology | A meta-analysis of cancer neoantigens curated from the literature |
1:52 PM | Kaiyuan Zhu | University of California San Diego | CoRAL accurately resolves extrachromosomal DNA genome structures with long-read sequencing |
1:55 PM | Helena Winata | University of California Los Angeles | EMulSI-Phy: Efficient Multi-Sample Inference of Cancer Phylogeny |
1:58 PM | Zitong Jerry Wang | California Institute of Technology | Generating counterfactual explanations of tumor spatial proteomes to discover therapeutic strategies for enhancing immune infiltration |
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General informatics resources and platforms | |||
Chair: Debolina Chatterjee, Ph.D., Indiana University | |||
2:00 PM | Lauren Chan | University of Chicago | Expanding Gearbox: LLM and ontology based opportunities to enrich clinical trial mapping |
2:10 PM | Jiarui Yao | Boston Children's Hospital, Harvard Medical School | Extraction of Chemotherapy Treatment Timelines from EHR Notes |
2:20 PM | Anja Conev | Rice University | EnGens: a computational framework for generation and analysis of representative protein |
2:30 PM | Romanos Fasoulis | Rice University | APE-Gen2.0: Expanding Rapid Class I pMHC Modeling to Post-Translational Modifications and Non-canonical Peptide Geometries |
2:40 PM | Erin Wissler Gerdes | University of Iowa | Evaluating Usability and Feasibility of Implementing Cancer Epidemiology Maps for SEER Registry End Users |
2:50 PM | Bryan Zhu | New York Genome Center | An Interactive Analysis on Variant Callers and Performance |
3:00 PM | BREAK | ||
Chair: Yi Lian, Ph.D., University of Pennsylvania | |||
3:10 PM | Hongyue (Nicole) Chen | Emory University | Discovering targetable Vulnerabilities in Cancer Using the Averon Notebook |
3:20 PM | Ariaki Dandawate | Dana Farber Cancer Institute | Latent embeddings of accessible loci for Automatic Cell-Type Annotation in scATAC-seq Data |
3:30 PM | Kaelyn Long | City University of New York | Ontology-leveraged metadata harmonization to improve AI/ML application on omics databases |
3:40 PM | Marcel Ramos | CUNY School of Public health | terraTCGAdata: accessing and representing TCGA on the AnVIL |
3:50 PM | Haoyue Feng | Boston University | Patterns in Flanking Bases of Mutation Signatures |
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DAY III. May 17 | |||
1:00 PM | Emory University | Keynote lecture: My ongoing career journey in AI and Medicine | |
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Flash talks | |||
Chair: Daniel Bergman, Ph.D., Johns Hopkins Medicine | |||
1:40 PM | Cally Lin | UC Santa Cruz Genomics Institute | Developing and Deploying the UCSC Xena Gene Set Enrichment Analysis Appyter |
1:43 PM | Wei Liu | MD Anderson Cancer Center | TCPAplus: An LLM-empowered Chatbot for Analyzing a Large Protein Expression Atlas of Human Cancers |
1:46 PM | Yunhui Qi | Iowa State University | Optimizing Sample Size for Statistical Learning in Bulk Transcriptome Sequencing: A Learning Curve Approach |
1:49 PM | Azka Javaid | Dartmouth College | Single cell transcriptomics level surface protein abundance estimation using STREAK. |
1:52 PM | Debolina Chatterjee | Indiana University School of Medicine | Identification of High-Risk Cells in Spatially Resolved Transcriptomics of Cancer Biopsies Using Deep Transfer Learning |
1:55 PM | Phi Le | University of California San Francisco | Prediction of Multi-Class Peptides by T-cell Receptor Sequences with Deep Learning |
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Image-based approaches | |||
Chair: Daniel Bergman, Ph.D., Johns Hopkins Medicine | |||
2:00 PM | Michael Kong | Case Western Reserve University | Human-in-the-loop deep learning-based segmentation of rectal tumors on MRI |
2:10 PM | Saumya Gupta | Stony Brook University | Topological uncertainty for vascular segmentation |
2:20 PM | Michael Yao | Stony Brook University | Topology-Guided Vasculature Analysis |
2:30 PM | Xinyi Yang | University of Colorado | Learning without Real Data Annotations to Detect Hepatic Lesions in PET Images |
2:40 PM | Benjamin Parker | Case Western Reserve University | Intra- and peri-tumoral radiomic features are predictive of pathologic response to multiple neoadjuvant therapy regimen in rectal cancers via pre-treatment MRI |
2:50 PM | Harrison Yee | Rensselaer Polytechnic Institute | Utilizing Deep Learning and Channel-Wise Data Fusion for End-to-end Organelle-based Breast Cancer Cell Classification |
3:00 PM | BREAK | ||
Clinical and population research | |||
Chair: Alexander Wenzel, Ph.D., University of California San Diego | |||
3:10 PM | Yingjie Qiu | Indiana University | Transparent and Efficient Adaptive Designs for Clinical Trials |
3:20 PM | Yi Lian | University of Pennsylvania | A Flexible and Adaptive Framework for High-Dimensional Fairness-Aware Integration of Data from Multiple Sites |
3:30 PM | Yiming Zhang | UMass Chan Medical School | Disparities in the Documentation of Social Determinants of Health ICD-10 Z-Codes for Patients Diagnosed with Cancer: An Epic Cosmos Study |
3:40 PM | Julia Herriott | Cincinnati Children's Hospital Medical Center | Pilot Testing the User Interface for a Novel Algorithm to Process Electronic Adherence Monitoring Device Data |
3:50 PM | Ramon Ortiz | University of California San Francisco | The TPS2TOPAS interface tool for investigating new radiotherapy devices |
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4:00 PM | NIH National Cancer Institute | Closing remarks |
CLICK HERE TO ACCESS THE ABSTRACTS
Registration deadline: May 14th, 2024.