Dr. Kolesar serves as Dean and Professor and the Jean M. Schmidt Chair in Drug Discovery at the University of Iowa College of Pharmacy. She received her Doctor of Pharmacy degree at the University of Texas Health Science Center in San Antonio, where she also completed a residency and fellowship in oncology. Her research focuses on precision medicine and oncology drug development. She has authored more than 400 abstracts, research articles, and book chapters, and as a principal investigator has received more than $15 million in research funding from the National Cancer Institute, the American Cancer Society, and other sources. In addition, she has 9 patents or patents pending and has founded two start-up companies, Helix Diagnostics and VesiCure Technologies, based on technologies developed in her laboratory.

 Dr. Jinpeng Liu is an assistant professor in the Division of Cancer Biostatistics in the Department of Internal Medicine at the University of Kentucky. Dr. Liu obtained his Ph.D from University of Kentucky.  His research focuses on computational method design and big data analytics for the interrogation of high-throughput sequencing data in cancer research. He has published several software packages for single cell RNA-seq quantification, large-scale alignment-free sequencing query and genome wide driver mutation discovery. He also led the bioinformatics components in genomics characterization of Lung Cancer Genomics in Appalachian Kentucky, Kentucky Colon Cancer Genome study and Kentucky Pediatric Brain Tumors study.

Dr. Jakubek is an assistant professor in the Division of Biomedical Informatics at the University of Kentucky and a member of the Markey Cancer Center. She has led and contributed to several genomic studies of tumors, pre-malignant lesions, and genetic mosaicism in normal tissues. Her work includes methods developments for the study of intra-tumor heterogeneity and copy number changes. Dr. Jakubek’s research program aims to advance our understanding of the earliest stages in disease development by studying somatic mutations and clonal dynamics across tissue types. Dr. Jakubek obtained her B.A. from Cornell University and her PhD from Emory University. She completed her postdoctoral training at MD Anderson Cancer Center .

Aik Choon Tan received his B.Eng. degree in Chemical/Bio-process Engineering from the University of Technology Malaysia, and his PhD degree in Computer Science/Bioinformatics from University of Glasgow, UK, in 2000 and 2005, respectively. Dr. Tan conducted his post-doctoral research training at the Johns Hopkins University School of Medicine from 2004 to 2009. In 2022, Dr. Tan was appointed as the inaugural Senior Director of Data Science at the Huntsman Cancer Institute, University of Utah. He holds the Jon M. and Karen Huntsman Endowed Chair in Cancer Data Science, Professor of Oncological Sciences and Biomedical Informatics. His research interests are translational bioinformatics and cancer systems biology, primarily by developing computational and machine learning methods for the analysis and integration of high-throughput cancer "omics" data in understanding and overcoming treatment resistance mechanisms in cancer. 

Dr. Ann Chen obtained her Ph. D. in Biostatistics and Bioinformatics from the Medical University of South Carolina in December of 2005 and received post-doctoral training in the Bioinformatics Training Program in the Department of Statistics at Texas A&M University. She joined Moffitt Cancer Center as an Assistant Member in 2008. She went through the promotion and tenure process and became a Senior Member in 2021. She is a Professor of Epidemiology and Biostatistics in the Department of Internal Medicine and the Department of Population Health Sciences at University of Utah since late 2023. She also serves as the Director of Cancer Biostatistics Shared Resources at Huntsman Cancer Institute (HCI). 

Mariano Russo, PhD, is a bioinformatics scientist at Chan Soon-Shiong Institute of Molecular Medicine at Windber and Murtha Cancer Center Research Program. He received his PhD from the Pennsylvania State University studying personalized medicine approaches for early detection biomarkers in cancer. Before joining the Windber Research Institute, he was a bioinformatician at a clinical genomics company, SOPHiA Genetics, where he worked on developing new bioinformatics pipelines for targeted panels in clinical diagnostics and analyzing NGS sequencing approaches to optimize signal-to-noise solutions. His research is currently focused on understanding the evolutionary genomics of metastatic progression.

Dr. Davis is the newly appointed Director of the Institute of Translational Genomic Medicine at Morehouse School of Medicine, and Distinguished Investigator with the Georgia Research Alliance. She also serves as Scientific Director of the International Center for the Study of Breast Cancer Subtypes (ICSBCS), (Interim) Director of Health Equity for the Englander Institute of Precision Medicine and Associate Professor of Cell and Developmental Biology in the Department of Surgery and at Weill Cornell Medicine in New York, NY. She is also a Cancer Ethnicity Scholar, co leading the PolyEthnic-1000 project at New York Genome Center.

Dr. Han is David Brown Chair Professor in Genomic Medicine, Department of Biostatistics and Health Data Science, Brown Center for Immunotherapy, Indiana University School of Medicine (IUSM). Before joining IU, he was an Associate Professor and CPRIT scholar at Texas A&M University, Institute of Biosciences & Technology, and Assistant Professor at The University of Texas Health Science Center at Houston. Dr. Han obtained his PhD from Chinese Academy of Sciences and did postdoc training at Stanford University and at MD Anderson Cancer Center. Dr. Han’s lab focused on harnessing big data for precision oncology.

Dr. Teer's research interests are focused on developing methods to analyze, interpret and visualize massively-parallel sequencing information in cancer genetics. This includes developing and applying computational methods and graphical tools to better detect genetic variations from sequencing data, understand the functional context of sequence changes, and visualize the results of large-scale genomics studies. Dr. Teer applies these approaches in collaborative projects related to cancer disparities, immuno-oncology, and cancer genomics.

Hong Zhu, Ph.D., is a tenured Professor of Biostatistics in the Department of Public Health Sciences at the University of Virginia (UVA) School of Medicine. She currently serves as Director of Biostatistics Shared Resource of UVA Comprehensive Cancer Center. Dr. Zhu has over a decade of experience in conducting statistical methodology research and providing statistical leadership on federally- and foundation-funded projects. Her methodological research focuses on design and analysis of clinical trials, statistical methods for complex survival data, and causal inference. She has extensive experiences in design, conduct, and analysis of patient-centered outcomes research (PCOR), particularly, real-world pragmatic trials and comparative effectiveness research (CER) using complex observational healthcare data (registries, claims, and electronic health record) in areas including cancer, chronic and infectious diseases.

Biography coming soon.

Dr. Jing Su is an Associate Professor of Biostatistics and Health Data Sciences at the Indiana University School of Medicine. He also serves as the Director of Data Management Services in the Department of Biostatistics and Health Data Science, and the Associate Director of Real-world Data at the Biostatistics and Data Management Core, IU Simon Comprehensive Cancer Center.
 
Dr. Su earned his Ph.D. in Biomedical Engineering from the Georgia Institute of Technology and Emory University. His research focuses on biomedical informatics, graph AI, data management, and research data commons. He is currently working on longitudinal real-world data and clinicogenomics data to advance precision medicine and clinical decision-making. Dr. Su’s work has been published in high-profile journals like the Journal of Clinical Oncology, Nature Communications, and npj Digital Medicine.