Personal information

United States

Activities

Employment (2)

California Institute of Technology: Pasadena, US

2024-06 to present | Postdoctoral Scholar (Van Valen Lab)
Employment
Source: Self-asserted source
Morgan Schwartz

California Institute of Technology: Pasadena, CA, US

2018-09 to 2024-05 | PhD Student in Biology (Van Valen Lab)
Employment
Source: Self-asserted source
Morgan Schwartz

Education and qualifications (1)

Smith College: Northampton, MA, US

2014-09 to 2018-05 | BA (Biology)
Education
Source: Self-asserted source
Morgan Schwartz

Works (10)

Cellular behavior analysis from live-cell imaging of TCR T cell–cancer cell interactions

2024-11-21 | Preprint
Contributors: Archit Verma; Changhua Yu; Stefanie Bachl; Ivan Lopez; Morgan Schwartz; Erick Moen; Nupura Kale; Carter Ching; Geneva Miller; Tom Dougherty et al.
Source: check_circle
Crossref

A Foundation Model for Cell Segmentation

2023-11-20 | Preprint
Contributors: Uriah Israel; Markus Marks; Rohit Dilip; Qilin Li; Morgan Schwartz; Elora Pradhan; Edward Pao; Shenyi Li; Alexander Pearson-Goulart; Pietro Perona et al.
Source: Self-asserted source
Morgan Schwartz

Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning

2023-09-06 | Preprint
Contributors: Morgan Sarah Schwartz; Erick Moen; Geneva Miller; Tom Dougherty; Enrico Borba; Rachel Ding; William Graf; Edward Pao; David Van Valen
Source: Self-asserted source
Morgan Schwartz

Scaling biological discovery at the interface of deep learning and cellular imaging

Nature Methods
2023-07 | Journal article
Contributors: Morgan Schwartz; Uriah Israel; Xuefei Wang; Emily Laubscher; Changhua Yu; Rohit Dilip; Qilin Li; Joud Mari; Johnathon Soro; Kevin Yu et al.
Source: check_circle
Crossref

A spatially resolved timeline of the human maternal–fetal interface

Nature
2023-07-20 | Journal article | Author
Part of ISSN: 0028-0836
Part of ISSN: 1476-4687
Contributors: Shirley Greenbaum; Inna Averbukh; Erin Soon; Gabrielle Rizzuto; Alex Baranski; Noah F. Greenwald; Adam Kagel; Marc Bosse; Eleni G. Jaswa; Zumana Khair et al.
Source: Self-asserted source
Morgan Schwartz

Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Nature Biotechnology
2022-04 | Journal article
Part of ISSN: 1087-0156
Part of ISSN: 1546-1696
Contributors: Noah F. Greenwald; Geneva Miller; Erick Moen; Alex Kong; Adam Kagel; Thomas Dougherty; Christine Camacho Fullaway; Brianna McIntosh; Ke Xuan Leow; Morgan Sarah Schwartz et al.
Source: Self-asserted source
Morgan Schwartz

Characterizing the diverse cells that associate with the developing commissures of the zebrafish forebrain

Developmental Neurobiology
2021-07 | Journal article
Contributors: Jake Schnabl; Mackenzie P. H. Litz; Caitlin Schneider; Nadia PenkoffLidbeck; Sarah Bashiruddin; Morgan S. Schwartz; Kristin Alligood; Stephen H. Devoto; Michael J. F. Barresi
Source: check_circle
Crossref

DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes

Nature Methods
2021-01-04 | Journal article
Contributors: Dylan Bannon; Erick Moen; Morgan Schwartz; Enrico Borba; Takamasa Kudo; Noah Greenwald; Vibha Vijayakumar; Brian Chang; Edward Pao; Erik Osterman et al.
Source: check_circle
Crossref

ΔSCOPE: A new method to quantify 3D biological structures and identify differences in zebrafish forebrain development

Developmental Biology
2020-01-01 | Journal article
Source: Self-asserted source
Morgan Schwartz
grade
Preferred source (of 2)‎

Neurofibrillary Tangle Predominant Dementia: Clinical and Pathological Description in a Case Series

Journal of Alzheimer's Disease and Parkinsonism
2016 | Journal article
Source: Self-asserted source
Morgan Schwartz