Meet the Presenters

Keynote Speaker

9:30 a.m. | Michael M. Hoffman, PhD

About the Keynote

Hoffman is a Senior Scientist and Chair of the Computational Biology Medicine Program at Princess Margaret Cancer Centre, University Health Network; an Associate Professor in the Department of Medical Biophysics at the University of Toronto; and a Faculty Affiliate at the Vector Institute.

To learn more about his research and work, visit his website at hoffmanlab.org.

Faculty Presenters

10:45 a.m. | Katrina Claw, PhD

Talk Title: Bringing Personalized Medicine to Tribal Communities

11:00 a.m. | Randi Johnson, PhD, MPH

Talk Title: Methylation Profiles Scores and the Developmental Origins of Health and Disease

11:15 a.m. | Brice McConnell, MD, PhD

Talk Title: Decoding the "Language of the Brain" From Single-Channel Sleep EEG as a Digital Biomarker of Brain Health

11:30 a.m. | Paul Norman, PhD

Talk Title: Global Immunogenetic Diversity

11:45 a.m. | Melike Sirlanci, PhD

Talk Title: Identifying Distinct Pathways of Type 2 Diabetes for Personalized Interventions

Trainee Presenters

1:15 p.m. | Riley Corcoran

Talk Title: Using Heritability to Optimize Phenotype Preprocessing Decisions With Biomarkers in the UK Biobank

1:35 p.m. | Kalyn Kearney, PhD

Talk Title: Attention-Weighted Multiple Instance Learning on Single-Channel Sleep EEG for Digital Biomarker Development

1:55 p.m. | Jenna Tomkinson

Talk Title: Discovering Cures for Disease Using Images of Cells

Poster Presenters

The poster session will take place during the lunch hour from 12:10 – 1:10 p.m.

ResearcherPoster Title
Joseph BenthalThe Multi-Polygenic Score Matrix: A Patient-by-Trait Representation of Polygenic Liability
Matt BlakeDeep Mutational Scanning of CYP2A6 in Human Cells via Variant Abundance by Massively Parallel Sequencing
Evan BrennerMachine Learning Identifies the Fingerprints of Host Adaptation in Bacterial Genomes
Sarah BrotmanSex Differences in Phenotypic Associations With Genetic Risk for Alzheimer’s and Parkinson’s Disease
He ChengKnowledge Graph-Guided Interpretation of Disease-Specific Taxon–Taxon Interaction Networks in the Gut Microbiome
Riley CorcoranUsing Heritability to Optimize Phenotype Preprocessing Decisions With Biomarkers in the UK Biobank
Isabella EatonPriorities for Genetic Research Practices: Perspectives From a Deliberation With Diné Community Members
Katlynn Emaus3D Model of Mitochondrial Morphology in Pregnancy-Related Disorders
Abhirupa GhoshMachine Learning and Genomics to Predict Antimicrobial Resistance in Bacteria
Courtney GianniniGenome-Wide Discovery of Gene-Environment Interactions in Chronic Kidney Disease
Clay Griffin-DerrTaming Unstructured Data: NLP Approaches to Metadata Standardization
Jill HoffmanGene Co-Expression Module-Based Approach for Trans-QTL Analysis
Shiyue HuKnowledge Graph-Guided Interpretation of Disease-Specific Taxon–Taxon Interaction Networks in the Gut Microbiome
Rochelle HubbartCurrent and Pending Other Support (CPOS) Excel Tracker and XML Generator
Kalyn KearneyEvent-Level Cortical Encodings From Single-Channel Sleep EEG as Digital Biomarkers
Iain KonigsbergA Multi-Omic Score Predicting Emphysema Progression
Mike LippincottEvaluating Cell Painting and Image-Based Profiling Strategies in NF1 Patient-Derived 3D Organoids
Aishwarya MandavaMulti-Scale Genetic Architecture of Disease Comorbidity via Heterogeneous Graph Representation Learning
Emily MeyerThe Facilities and Resources Generator: A Collaborative Software Project to Strengthen Grant Proposals
Mónica Muñoz TorresAssessment to Action: A Practical Team Science Implementation Workshop
Jack O'ConnorUsing Community-Wide Modeling to Identify Metabolic Pathways Implicated in HIV-Associated Cardiometabolic Health
Lucas RozellPriorities for Genetic Research Practices: Perspectives From a Deliberation With Diné Community Members
Carissa ShermanFeedback for Post-Doc Projects
Kat TerwelpLeveraging Genomic Context to Predict Bacterial Phenotypes
Jenna TomkinsonDiscovering Cures for Disease Using Images of Cells
Hong Phuc VoPatient-Derived Organoids Enable Functional Drug Screening of DICER1-Associated Tumors
Xingmeng ZhaoTelling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI
Kewalin SamartSigMatch: A Framework to Evaluate the Impact of Sample Tissue on Prioritizing Disease Relationships Towards Cross-Disease Drug Repurposing
Akshay Kumar AvvaruProfiling Somatic Instability at Tandem Repeats From Large-Scale Population Genome Data
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