AI and Gene Regulation Across Scales

Oct 04–07, 2027 | Village at Breckenridge, Breckenridge, CO, United States
Scientific Organizers: Anshul B. Kundaje, Maria Brbic, and Peter Koo

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  In Person
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Oct 04–07, 2027 | Village at Breckenridge, Breckenridge, CO, United States

Scientific Organizers: Anshul B. Kundaje, Maria Brbic, and Peter Koo

Supported by:  

***Meeting program subject to change.

Available Formats:     = Livestream   = In Person     = On Demand
Monday, October 4, 2027
Registration
4:00–8:00 PM
Welcome Mixer
6:00–8:00 PM
Tuesday, October 5, 2027
Breakfast
7:00–8:00 AM
Welcome Remarks
8:00–8:10 AM
Keynote Address
8:10–9:00 AM
Jay Ashok Shendure †, University of Washington
From Functional Genomics to Predictive Models of Gene Regulation
Cell State, Perturbation, and Trans Regulation
9:00–11:15 AM
Speaker to be Announced
Trey Ideker †, University of California, San Diego and University of Oxford
Building Cell Maps for Predictive Models of Disease
Shana Kelley †, Chan Zuckerberg Biohub Chicago and Northwestern University
AI-Guided CRISPR Screens for Functional Genomics and Target Discovery
Short Talk(s) Chosen from Abstracts
Coffee Break
9:30–9:50 AM
Panel Discussion 1: Aligning Experimental Design with AI Model Development
11:25–12:25 PM
Poster Setup
12:25–1:00 PM
On Own for Lunch
12:25–5:00 PM
Poster Viewing
1:00–10:00 PM
Symposia Spotlight 1: Predictive Models of Trans Regulation and Cell-State Dynamics
2:30–4:30 PM
Short Talks Chosen from Abstracts
Coffee Available
4:30–5:00 PM
Predictive Models of Cellular Response, Disease, and Intervention
5:00–7:00 PM
Berton Earnshaw †, University of Utah
Virtual Cell Models for Predicting Cellular Responses
Samantha A. Morris †, Brigham and Women’s Hospital
Dissecting Cell Identity through Network Inference and In Silico Perturbation
Christina V. Theodoris, Gladstone Institutes
AI Models for Programming Cell State Trajectories
Short Talk(s) Chosen from Abstracts
Social Hour with Dinner
7:00–8:00 PM
Posters
7:30–10:00 PM
Wednesday, October 6, 2027
Breakfast
7:00–8:00 AM
Cis Regulation, Epigenetics, and Genome Function
8:00–11:00 AM
Žiga Avsec †, Google DeepMind
Predicting Regulatory Function from DNA Sequence at Genome Scale
Joanna Wysocka, Stanford University
Decoding Gene Regulatory Logic in Development and Evolution
Johannes Linder, Helmholtz Munich
Predicting Gene Expression and RNA Processing from DNA Sequence
Christina S. Leslie, Memorial Sloan-Kettering Cancer Center
Modeling Gene Regulation Across Differentiation and Disease
Short Talk(s) Chosen from Abstracts
Coffee Break
9:00–9:20 AM
Poster Setup
11:00–1:00 PM
On Own for Lunch
11:00–5:00 PM
Poster Viewing
1:00–10:00 PM
Career Roundtable
3:00–4:30 PM
Coffee Available
4:30–5:00 PM
Interpretable, Causal, and Generalizable Models of Gene Regulation
5:00–7:00 PM
Anshul B. Kundaje, Stanford University
Interpretable Deep Learning Models of Regulatory Sequence and Chromatin
Sara-Jane Dunn, Relation Therapeutics
Learning Causal Models of Gene Regulation from Perturbation Data
Peter Koo, Cold Spring Harbor Laboratory
Interpretable and Generalizable AI for Regulatory Genomics
Short Talk(s) Chosen from Abstracts
Social Hour with Dinner
7:00–8:00 PM
Posters
7:30–10:00 PM
Thursday, October 7, 2027
Breakfast
7:00–8:00 AM
Spatial and Multimodal Models of Cell State and Regulation
8:00–11:00 AM
Bianca Dumitrascu, Columbia University
Statistical and Machine Learning Models for Spatial and Multimodal Cell-State Data
Xiaowei Zhuang †, Harvard University
Spatially Resolved Molecular Imaging for Understanding Cellular Organization and Gene Regulation
Maria Brbic, EPFL
Multimodal Models for Decoding Cellular Organization and Function
Arjun Raj, University of Pennsylvania and Cellular Intelligence
Predictive Models of Cell Signaling and Response
Short Talk(s) Chosen from Abstracts
Coffee Break
9:00–9:20 AM
Panel Discussion 2: Connecting Models Across Regulatory Scales
11:10–12:10 PM
On Own for Lunch
12:10–5:00 PM
Symposia Spotlight 2: Decoding Cis-Regulatory Function with AI and Functional Genomics
2:30–4:30 PM
Short Talks Chosen from Abstracts
Coffee Available
4:30–5:00 PM
Connecting Cis and Trans Regulation Across Cellular Contexts
5:00–6:45 PM
Kyle Kai-How Farh †, Illumina
Atlas-Scale Perturb-seq for Predictive Models of Regulatory Programs and Cell State
Luca Pinello †, Massachusetts General Hospital / Harvard Medical School
Integrating Regulatory Sequence and Cellular Context to Predict Gene Expression
Jingtian Zhou, Arc Institute
Single-Cell Epigenome: From Atlasing to Modeling
Short Talk(s) Chosen from Abstracts
Meeting Wrap-Up: Outcomes and Future Directions
6:45–7:00 PM
Social Hour with Dinner
7:00–8:00 PM
Entertainment
8:00–11:00 PM
Cash Bar
8:00–11:00 PM
Friday, October 8, 2027
Departure
12:00–11:59 PM

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