ISCB COSI · ISMB 2026 · Washington, DC

Computational
Systems Immunology

A community of interest bringing together innovative computational approaches to tackle the unique challenges of immune system analysis — from repertoire profiling to neoantigen prediction.

Established 2025
Part of ISMB / ISCB
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Flagship Event

ISMB 2026

July 12–16, 2026 · Washington, DC

The 34th Intelligent Systems for Molecular Biology conference returns to Washington, DC — the very city where ISCB and ISMB began in 1993. This landmark meeting celebrates over 30 years of advancing computational biology, hosted at the Washington Hilton with a hybrid virtual option via ISCB's Nucleus platform.

The CSI COSI track will be a featured part of the program, bringing computational immunology front and center at the world's largest bioinformatics conference. 600+ scientific talks, tutorials, networking events, and more await.

Learn More & Register
Dates
July 12–16, 2026
In-person + Virtual
Location
Washington Hilton
Washington, DC, USA
Scientific Talks
600+ Expected
Across all COSI tracks
Milestone
34th ISMB
30+ years of computational biology

About the CSI COSI


The Computational Systems Immunology (CSI) COSI provides a platform for discussing innovative computational methods to tackle the challenges specific to immune system analysis. The COSI fosters discussions that drive both fundamental research and translational discoveries in immunology, ensuring computational approaches keep pace with the evolving landscape of immune system studies.

CSI is organized as a full-day track within the annual ISMB conference, featuring keynote lectures, invited talks, trainee presentations, and short talks selected from submitted abstracts.

TCR/BCR Repertoires Epitope Discovery MHC Binding Prediction Hematopoiesis Single-cell Multi-omics Spatial Transcriptomics Neoantigen Immunogenicity Gene Regulatory Networks B Cell Epitope Prediction Transcription Factor Motifs Immune Cell Annotation Cell-type Regulatory Patterns

Activities Over the Last Year


2025 marked the first year of Computational and Systems Immunology COSI. The day-long program opened with a packed room for the keynote by Dr. Julio Saez-Rodriguez on using multiomic and spatial data alongside biological knowledge to model gene regulatory and signalling networks.

This was followed by a talk from Dr. Robert F. Murphy (founder and former chair, Computational Biology Department, Carnegie Mellon) on a vision-transformer-based cell annotation method for highly multiplexed tissue images. The morning session also featured talks on protein expression imputation from spatial transcriptomics data and a spatial and single-cell study of the human thymus.

Morning Session

Keynote on multiomic & spatial regulatory network modeling · Vision transformer cell annotation for multiplexed tissue images · Protein expression imputation from spatial transcriptomics · Human thymus aging and dysfunction.

Afternoon Session

Transcriptional regulatory code of immune cells using an expanded DNA motif lexicon · Transcriptional regulators of Tfh differentiation · Double-negative B cells in cancer · Heavy/light chain pairing prediction.

Computational Immunology

Phylogeny-informed B cell epitope prediction · Improved TCR–epitope binding models · Neoantigen immunogenicity prediction in cancer · SHISMA: cell-type-specific regulatory pattern inference.

Short Talks

The day concluded with five-minute lightning talks selected from submitted abstracts, showcasing emerging work from trainees and early-career researchers across systems immunology.

Program Schedule


Keynote (40 min) Talk (20 min) Lightning (10 min) Break
11:00 – 13:00 Theme: Spatial Transcriptomics & Imaging
11:00 – 11:40 Keynote
Soumya Raychaudhuri
11:40 – 12:00 Talk
Hanxi Xiao
Using Interpretable Latent Representations of Spatial Transcriptomic Datasets to Identify Molecular Mechanisms of Immunomodulation
12:00 – 12:20 Talk
Tamjeed Azad
Segmentation-free discovery of spatial niches in image-based spatial transcriptomics
12:20 – 12:40 Talk
Lingyu Li
Hist2Pheno enables nuclei-resolved phenotypic prediction from histological images in esophageal squamous cell carcinoma
12:40 – 12:50 Lightning
Alexis Combes
Single-cell spatial transcriptomics of archived colitis biopsies uncovers cellular neighborhoods defining two distinct archetypes of vedolizumab resistance
12:50 – 13:00 Lightning
Xu Liao
A multimodal foundation model for single-cell immune profiling
13:00 – 14:20 Lunch Break
14:20 – 16:00 Theme: Repertoire & TCR/BCR
14:20 – 15:00 Keynote
Golnaz Vahedi
15:00 – 15:20 Talk
William White
Comprehensive Mapping of Immune Nanobody Repertoires with NanoMAP
15:20 – 15:40 Talk
Michael Robben
Deep learning TCR-pMHC structure prediction differentiates epitope specific interactions
15:40 – 16:00 Talk
Cole Jensen
Scalable Unmutated Common Ancestor Inference of Paired B Cell Receptor Ancestors Across Immune Repertoires
16:00 – 16:40 Afternoon Coffee Break
16:40 – 18:00 Theme: Temporal Dynamics & Signaling
16:40 – 17:00 Talk
Anamarie Martinez
A signaling-informed sequence-to-function model identifies mechanisms of cytokine-specific gene regulation
17:00 – 17:20 Talk
Kenneth Hoehn
TyCHE enables time-resolved lineage tracing of B cells, tumors, and other heterogeneously evolving cell populations
17:20 – 17:40 Talk
Simona Rabinovici-Cohen
Agentic AI for screening antibody-antigen binding affinity
17:40 – 17:50 Lightning
Stephanie Hao
Systems Vaccinology Reveals Shared and Distinct Early Transcriptional Predictors of High Antibody Responses Across Vaccines Targeting Divergent Pathogens
17:50 – 18:00 Lightning
Li Su
scTRP: a clonotype-aware single-cell contrastive model for predicting antitumor-reactive T cells

Organizing Committee


Co-Chair
Ferhat Ay
La Jolla Institute for Immunology
Co-Chair
Jishnu Das
University of Pittsburgh
Organizing Committee
Yuri Pritykin
Princeton University
Organizing Committee
Hatice Ulku Osmanbeyoglu
University of Pittsburgh
Organizing Committee
Aly Azeem Khan
University of Chicago Biohub

Program Committee

Grégoire Altan-Bonnet National Cancer Institute (NCI), National Institutes of Health (NIH)
Matteo Barberis University of Surrey, UK
Hannah Carter University of California San Diego (UCSD)
Gisela Gabernet Yale School of Medicine
Kenneth Hoehn Geisel School of Medicine at Dartmouth
Katharina Imkeller University Hospital Frankfurt, Goethe University
Alok Joglekar University of Pittsburgh
Joseph Ng University College London (UCL)
Yuri Pritykin Lewis-Sigler Institute for Integrative Genomics at Princeton University
Felipe Campelo University of Bristol, UK
Anthony Cillo University of Pittsburgh
Victor Greiff University of Oslo, Norway

Equity, Diversity & Inclusion


We value diversity of backgrounds, expertise, and opinion across our organizing committee, steering committee, keynote speakers, and invited speakers. Our goal is to provide a platform for information exchange and to stimulate collaborations across a diverse set of attendees that is representative of the general ISMB audience.

Going forward, our keynote speaker list will feature more female scientists and researchers from outside North America, and we will ensure at least one early-career faculty member doing high-impact work is represented. We will actively seek out speakers from underrepresented groups, including women, racial and ethnic minorities, and individuals from diverse geographic regions, as well as voices from industry and non-traditional research settings.

Speaker Diversity

Prioritizing female scientists, researchers outside North America, and early-career faculty for keynote and invited talks.

Career Stage Balance

Deliberately balancing senior and junior researchers when selecting invited talks, and highlighting trainee contributions through short talks.

Industry Inclusion

Actively including voices from industry and non-traditional research settings to reflect the full spectrum of the Systems Immunology field.

Join the Community


Connect with researchers and practitioners in Computational Systems Immunology. Join our Slack workspace to stay up to date on the COSI, upcoming events, and community discussions.

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