Data integration, harmonization, interpretation and visualization remain critical challenges.

This track will explore strategies for integrating genomic, transcriptomic, proteomic and proteogenomic data, along with other omics layers, and how applying new AI approaches will help you uncover deeper biological insights. 

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11:30
  1. Promises and Challenges of Population Proteomics in Health and Disease
    Multi-Omics Integration Stage
    30 mins
    Common uses of large-scale population proteomics in health and disease.  Broad synopsis of main types of scalable proteomic methods.  Overview of large proteomic and proteogenomic studies in human blo …
    Speakers
    Speaker image for Benjamin Sun
    Benjamin Sun, Director, Head of Population Health Omics, Informatics and Predictive Sciences - Bristol Myers Squibb
12:00
  1. Beyond the Genome: Scalable Proteomics to Power Pharma Discovery and Clinical Translation
    Multi-Omics Integration Stage
    30 mins
    • Proteomics complements genomics by revealing dynamic biological processes, including signalling, immune activity, causal biomarkers, and treatment response. • We will show how Olink™ high-throughput proteomics supports biomarker discovery, pharmacodynamic assessment, clinical development, and precision therapeutic strategies. • Olink profiling enables deeper patient stratification, highlights immune pathway modulation, and connects proteomic insights with genomic and computational analyses. • Join the session to explore how Olink PEA technology advances precision medicine across immunology, cardiovascular disease, and neurology by identifying disease signatures and clinically actionable biomarkers.
    Speakers
    Speaker image for Joseph Caruso
    Joseph Caruso, Sr. Field Application Scientist - Olink™ part of Thermo Fisher
12:30
  1. From Data to Decision: Leveraging Multi-Omics & Proteomics for the Right Target, Drug, and Patient
    Multi-Omics Integration Stage
    30 mins
    Background for multiomics integration for drug discovery/development: why, what, how  Application examples:  Target nomination  Biomarker ID/validation  Clinical development 
    Speakers
    Speaker image for Shuwei Li
    Shuwei Li, Director, Population Analytics & Insights, Data Science DPDS - Johnson & Johnson Innovative Medicines
14:10
  1. Regulatory Mechanisms of Proteins Abundance Control across Single Cells in Neurodegenerative Disease
    Multi-Omics Integration Stage
    30 mins
    Increasing proteomics throughput by multiplexing in the mass and time domains  Identifying novel disease mechanisms using highly-multiplexed bulk and single-cell proteomics from human brain tissue sam …
    Speakers
    Speaker image for Mahlon Collins
    Mahlon Collins, Research Innovation Coordinator - Parallel Squared Technology Institute
14:40
  1. Solving Production Bottlenecks in Bioinformatics Compute: Runtime, Cost, GPU Access, and Failed Jobs
    Multi-Omics Integration Stage
    30 mins
    In this session, attendees will learn how to: Achieve 5x faster runtimes and 60% to 85% lower compute costs for computational workloads including Nextflow, AlphaFold, GROMACS, OpenMM, and Boltz Run ch …
    Speakers
    Speaker image for Fengbo Ren
    Fengbo Ren, Founder & CEO - Fovus
15:10
  1. Proteomics-Driven Target Discovery and Drug Development
    Multi-Omics Integration Stage
    30 mins
    Detailed insights into proteomic technologies and workflows that enable target identification and validation.  Practical challenges and solutions for scaling proteomics data analysis and management.  …
    Speakers
    Speaker image for Matthew Glover
    Matthew Glover, Associate Director, Proteomics - AstraZeneca
15:40
  1. Networking Break
    Multi-Omics Integration Stage
    30 mins
16:10
  1. Integrating Transcriptomics and Proteomics to Accelerate Biomarker Discovery and Clinical Translation
    Multi-Omics Integration Stage
    30 mins
    The clinical motivation: why robust biomarkers and better patient stratification are needed to improve clinical decision-making.  Transcriptomics + proteomics together: how integrating RNA and protein …
    Speakers
    Speaker image for Banishree Saha
    Banishree Saha, Global Biomarker Lead - Takeda
16:40
  1. From Spatial Atlas to World Model: The Data and AI Infrastructure Redefining Cancer Biology
    Multi-Omics Integration Stage
    30 mins
    Foundation models transformed natural language processing by training on data of unprecedented scale and diversity. Bioptimus is applying the same logic to biology. Bioptimus has introduced M-Optimus, …
    Speakers
    Speaker image for Jennifer Elliott
    Jennifer Elliott, Senior Director, Business Development - Bioptimus
17:10
  1. Multi-Omic Case Studies in Drug Safety: Biomarker Discovery and Mechanistic Insights
    Multi-Omics Integration Stage
    30 mins
    Multi-omic profiling of blood samples from patients receiving immune checkpoint inhibitors or AAV gene therapy—before and after liver injury—revealed sensitive mechanistic biomarkers.  AI foundation m …
    Speakers
    Speaker image for Tom Lanz
    Tom Lanz, Senior Director, Multi-Omics and Biomarkers - Pfizer
11:30
  1. AI-Powered Cross-Level Cross-Scale Cross-Species Multi-Omics Integration And Predictive Modeling For Drug Discovery
    Multi-Omics Integration Stage
    30 mins
    An AI-powered multi-scale modeling framework integrates multi-omics data across biological levels, species, and organism hierarchies to accurately predict chemical-perturbed phenotypes.  This advanced …
    Speakers
    Speaker image for Lei Xie
    Lei Xie, Professor - Northeastern University
12:00
  1. Multiome Perturb‑Seq: Scalable CRISPR Screens Linking Transcriptome and Epigenome at Single‑Cell Resolution
    Multi-Omics Integration Stage
    30 mins
    Multiome Perturb‑Seq combines CRISPR perturbations with single-cell transcriptome and chromatin accessibility profiling for integrated regulatory mapping.  Efficient sgRNA capture enables scalable, hi …
    Speakers
    Speaker image for Thomas Norman
    Thomas Norman, Associate Member - Memorial Sloan Kettering Cancer Center
12:30
  1. Multimodal Foundation Models for Biomolecular Analysis
    Multi-Omics Integration Stage
    30 mins
    Multimodal foundation models that incorporate sequence, structure and biochemical property information for RNA, protein and cellular level prediction  Application of these for predicting immunogenicit …
    Speakers
    Speaker image for Smita Krishnaswamy
    Smita Krishnaswamy, Associate Professor of Genetics and of Computer Science - Yale University
13:00
  1. Lunch
    Multi-Omics Integration Stage
    60 mins
14:00
  1. Single-Cell Multi-Omics Integration to Find Blood Targets for Brain Diseases
    Multi-Omics Integration Stage
    30 mins
    Harnessing single-cell multi-omics to pinpoint potential therapeutic targets for brain diseases.  Integrating transcriptomic and epigenomic data to reveal cellular heterogeneity and disease-relevant p …
    Speakers
    Speaker image for Mark Gerstein
    Mark Gerstein, Professor of Biomedical Informatics - Yale School of Medicine
14:30
  1. CSF Proteomics Reflect Neuronal Excitability Before Amyloid Aggregation in Preclinical AD
    Multi-Omics Integration Stage
    30 mins
    Synaptic hyperplasticity precedes amyloid aggregation  Tau turnover increases before amyloid aggregation  The cytokine/chemokine response ramps up later during amyloid conversion 
    Speakers
    Speaker image for Abhay Moghekar
    Abhay Moghekar, Biofluid Biomarker Core Leader, Clinical Core Co-Leader - Johns Hopkins Hospital 
15:00
  1. Advances in Single-cell and Long-read Sequencing Converge for Novel Insights in Alzheimer’s Disease
    Multi-Omics Integration Stage
    30 mins
    Genetic variants impact Alzheimer’s Disease risk  Molecular consequences of Alzheimer’s disease pathology are cell type-specific  Altered splicing is implicated in AD susceptibility  Single-cell multi …
    Speakers
    Speaker image for Lindsay Rizzardi
    Lindsay Rizzardi, Assistant Professor, Department of Biochemistry and Molecular Genetics - The University of Alabama at Birmingham