research

Research overview, selected publications, and mentoring.

news

collaborators

I’ve been fortunate to work with many researchers over the years. Check out some of their profiles below.

Eleftheria Roumeli | Lana Chahine | Abby Olsen | Eugene Voronstov | Siqi Liu | Elsa Olivetti | Soumya Ghosh | Peter Attia

interns

2026 Nitya Thakkar (Stanford) 2025 Marija Pizurica (Ghent and Stanford) | Katya Redekop (UCLA) 2024 Yicong Li (Harvard) | Nancy Newlin (Vanderbilt) 2023 Rina Ding (UCLA) | Avish Vijayaraghavan (Imperial) 2022 Krisnakant Saboo (UIUC) | David Davila (UTEP)

selected publications

  1. Matter
    Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
    Meng-Yen Lin, Kristen Severson, Paul Grandgeorge, and Eleftheria Roumeli
    Matter, 2025
    Paper Code
  2. arXiv
    Prism2: Unlocking Multi-modal General Pathology AI with Clinical Dialogue
    Eugene Vorontsov, George Shaikovski, Adam Casson, Julien Viret, Eric Zimmermann, Neil Tenenholtz, and 13 more authors
    arXiv preprint arXiv:2506.13063, 2025
    Paper
  3. Nat. Med.
    A Foundation Model for Clinical-Grade Computational Pathology and Rare Cancers Detection
    Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Kristen Severson, and 27 more authors
    Nature Medicine, 2024
    Paper Model
  4. arXiv
    Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
    Eric Zimmermann, Eugene Vorontsov, Julien Viret, Adam Casson, Michal Zelechowski, George Shaikovski, and 8 more authors
    arXiv preprint arXiv:2408.00738, 2024
    Paper Model
  5. arXiv
    Prism: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
    George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Joseph D. Kunz, and 16 more authors
    arXiv preprint arXiv:2405.10254, 2024
    Paper Model
  6. Nat. Comput. Sci.
    Identifying Patterns in Amyotrophic Lateral Sclerosis Progression from Sparse Longitudinal Data
    Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Jonathan D. Glass, Christina N. Fournier, and 1 more author
    Nature Computational Science, 2022
    Paper
  7. Lancet Digit. Health
    Discovery of Parkinson’s Disease States and Disease Progression Modelling: A Longitudinal Data Study Using Machine Learning
    Kristen A. Severson, Lana M. Chahine, Luba A. Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, and 2 more authors
    The Lancet Digital Health, 2021
    Paper
  8. Nat. Energy
    Data-Driven Prediction of Battery Cycle Life Before Capacity Degradation
    Kristen A. Severson, Peter M. Attia, Norman Jin, Nicholas Perkins, Benben Jiang, Zi Yang, and 8 more authors
    Nature Energy, 2019
    Paper