Skip to content

Understanding genome organization and protein dynamics through physics, computation, and AI.

The Contessoto Lab develops theoretical, computational, and data-driven models to study genome organization, chromatin dynamics, and biomolecular function. We combine polymer physics, molecular simulations, genomic data, and machine learning to connect genome architecture with gene regulation, cellular function, and disease.

Research

Modeling genome architecture from physical principles and data

The lab combines polymer physics, statistical mechanics, molecular simulations, maximum entropy inference, and machine learning to study three-dimensional genome organization.

Genome Structure

01

3D genome organization and chromatin dynamics

We combine polymer physics and molecular simulations to understand how chromosomes fold and reorganize across cell states.

Physical Models

02

Energy landscapes of chromosomes

We build effective free energy landscapes to study chromatin structure and dynamics.

Inference

03

Maximum entropy modeling from Hi-C and imaging

We infer least-biased models that integrate Hi-C contact maps and high-resolution microscopy data to study 3D genome organization.

Machine Learning

04

Representation learning for genome architecture

We develop data-driven models that link epigenetic profiles and chromatin annotations to the 3D structural ensemble of chromosomes.

Function

05

Structural variation and genome function

We study how structural variants reshape 3D genome organization and influence gene regulation.

People

Current lab members

Meet the team and learn about current research interests in the group.

Portrait of Vinicius Contessoto

Principal Investigator

Vinicius Contessoto

Assistant Research Professor

Physics-based and data-driven modeling of chromatin organization, molecular simulations, maximum entropy inference, and genome architecture.

Portrait of Adam Kuhn

Graduate Student

Adam Kuhn

Graduate Student

AI models for genome architecture, chromatin structure, and data-driven biological physics.

Portrait of Angel Mendieta

Graduate Student

Angel Mendieta

Graduate Student

Graduate research in computational modeling, chromatin structure, and data-driven genome architecture.

Highlighted Publications

Selected papers and software publications

Browse a curated list of 8 selected publications connected to genome architecture, chromatin dynamics, physical modeling, molecular simulations, and open scientific software.

Software

Open tools for modeling genome architecture

Software cards are designed for code links, documentation, and associated publications as project pages mature.

O

OpenMiChroM

A framework to perform chromatin dynamics simulations using GPUs.

OpenMMsimulationchromatin
NDB

Nucleome Data Bank

A platform for storing, visualizing, and sharing 3D genome structures and simulation-derived chromosome ensembles.

3D genomevisualizationdata sharing
T

TECSAS

A Transformer-based framework for connecting epigenomic information with chromatin structural annotations.

transformerschromatin annotationssequence modeling

Funding and Support

Institutional, research, and computational support

Learn more about the institutional and external support that makes the lab's research possible.

View support

Latest News

Lab updates and announcements

Follow lab updates, publications, funding news, student opportunities, and events.

May 2026

Contessoto Lab website launched

January 2026

New data-driven 3D chromosome model reveals structural and dynamic features of DNA

July 2024

Researchers discover ancient chromosomes in 52,000-year-old woolly mammoth

July 2024

Como pesquisadores desafiaram a ciência e descobriram na Sibéria o 1º fóssil de cromossomo da história

February 2023

Mosquito's DNA could provide clues on gene expression, regulation

July 2021

Rice, Rutgers developing inhalable COVID-19 vaccine spray

May 2021

Biologists construct a 'periodic table' for cell nuclei

October 2020

At our cores, we're all strengthened by 'dumbbells'

April 2020

Contessoto Presents Research

View News

Join Us

Research opportunities and collaborations

We welcome students, visiting scholars, postdoctoral researchers, and collaborators interested in theoretical biological physics, genome organization, chromatin dynamics, molecular simulations, and AI-guided modeling.

Opportunities

Contact

Get in touch

For collaborations, student research, software questions, or group inquiries, email the lab or use the external profile links below.

Vinicius Contessoto

Assistant Research Professor

Department of Physics and Astronomy
Rice University
Center for Theoretical Biological Physics
BioScience Research Collaborative (BRC)
6100 Main St., Houston, TX 77005-1827

Lab/group location
Center for Theoretical Biological Physics (CTBP), BioScience Research Collaborative (BRC)