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2024 FEATURED SPEAKERS

Adrian Dubuc, PhD

Adrian Dubuc, PhD, FACMG

Vice Chair for Clinical Research (Cytogenetics/Genomics)

Roswell Park Comprehensive Cancer Center, Buffalo, NY

Dr. Dubuc is a clinical laboratory geneticist who has spent his career attempting to bridge the gap between research innovation and integration of genomic studies into clinical care. His research focuses on understanding and characterizing vulnerabilities/limitations of current clinical genomic testing strategies, and exploring how novel ‘omics’ approaches can ensure the appropriate and accurate diagnosis, management and clinical care for patients with a cancer diagnosis

David Goodrich, PhD

Distinguished Professor of Oncology, Department of Pharmacology & Therapeutics

Roswell Park Comprehensive Cancer Center, Buffalo, NY

Research Interests:

Understanding molecular mechanisms underlying tumor suppression mediated by the RB1 and TP53 genes  Identifying genes involved in prostate cancer metastasis  Discerning how transcriptionally formed R-loops contribute to cancer initiation and progression Understanding molecular mechanisms underlying the non-genetic adaptations of cancer cells to selective pressures like metastasis and therapy Elucidating how tumor suppression genes control cancer lineage plasticity and acquired therapeutic resistance

Bernardo Lemos, PhD

Professor, Pharmacology & Toxicology

R. Ken & Conna Coit Endowed Chair in Aging & Neurodegenerative Diseases

The University of Arizona, R. Ken Coit College of Pharmacy, Phoenix, AZ

Dr. Lemos' lab currently collaborates in projects examining human populations in China, Bangladesh, and the USA, as well as experimental studies in cell systems and model organisms. He focuses on the rDNA and the impact of dietary interventions and exposure to environmental toxicants on the genome and epigenome. He has recently developed the first long-range interaction map of the rDNA using Hi-C technology as well as developed the rDNA aging clock, an evolutionarily conserved marker of aging that is applicable to humans, mice, and other mammals. The rDNA clock can address chronological age in individuals of unknown age as well as biological age in response to interventions and toxicants. He has been awarded an Ellison Foundation New Scholars in Aging Award and a Smith Family Award for Excellence in Biomedical Research. 

Donald Mager,  PharmD, PhD

Professor & Chair, Department Pharmaceutical Sciences

University at Buffalo School of Pharmacy & Pharmaceutical Sciences, Buffalo, NY

Dr. Mager’s research focuses on identifying molecular and physiological factors that control the pharmacological properties of drugs by combining experimental data with computational modeling platforms, with a focus on anti-cancer and immunomodulatory agents. Current efforts seek to combine logic-based networks and machine learning with empirical and systems models to explore combinatorial anti-cancer drug regimens, heterogeneity in cancer responses, and chemotherapy-induced adverse drug reactions.

Kenan Onel, MD, PhD

Chief, Department of Clinical Genomics

Roswell Park Comprehensive Cancer Center, Buffalo, NY

Dr. Onel has spent his career as a clinical cancer geneticist caring for children, adults, and families at high risk for cancer due to genetic predispositions or family history. As a scientist, he is known internationally for his work on the genetic contribution to cancer risk and response to therapy, and is recognized as a leader in functional genomics, an emerging field integrating genetic and laboratory investigations that is yielding profound new insights into human health and disease.

Adam Shlien, PhD

Associate Director, Translation Genetics in Paediatric Laboratory Medicine

Hospital for Sick Children (SickKids)

Dr. Shlien's research uses the tools of modern sequence-based genomics to discover the mutations that are present in the genomes of paediatric cancer patients, and to understand how these mutations alter the somatic transcriptome.

Paula Vertino, PhD

Wilmot Distinguished Professor of Cancer Genomics, Department of Biomedical Genetics

Associate Director for Basic and Translational Research,  Wilmot Cancer Institute

Senior Associate Dean for Basic Research

University of Rochester School of Medicine and Dentistry

Dr. Vertino is a cancer research scientist and educator known for her work in the field of cancer epigenetics. Her laboratory is focused on understanding the epigenetic mechanisms underlying altered gene expression programs and how they contribute to the trajectory of human breast and other cancers, and to exploit these mechanisms as a therapeutic approach to “re-program” the cancer epigenome. She has worked translationally with clinicians, population scientists, and computational scientists to leverage epigenomic analyses and machine learning approaches to define genomic/epigenomic ‘signatures’ associated with cancer outcomes and environmental exposures. Recent work seeks to define how the loss of epigenetically enforced transcriptional constraints contributes to tumor cell plasticity and adaptation to drive the emergence of invasive or drug resistant variants. 

Anna Woloszynska, PhD

Associate Professor, Department of Pharmacology & Therapeutics

Roswell Park Comprehensive Cancer Center, Buffalo, NY

Dr. Woloszynka's research interests are focused on gene regulation, genetics and epigenetics, epigentic therapies, functional genomics, translational research, health disparities, bladder cancer and prostate cancer.

Sukyung Woo, PhD

Associate Professor, Department of Pharmaceutical Sciences

Univeristy at Buffalo School of Pharmacy, Buffalo, NY

Dr. Woo’s research utilizes a combined computation modeling and experimental approach to advance treatment development and optimize outcomes. The current focus is on understanding how RNA-based therapeutic characteristics, pharmacology, and biological systems collectively influence the extent and duration of gene silencing. This research enhances our understanding of the key determinants of pharmacokinetics and pharmacodynamics of RNA-based therapeutics and provides quantitative guidance for their design and target selection.

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