Jimmy Hall

Senior Data & Applied Scientist

Publications

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- JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication
  
  Marija Pizurica, Eric Zimmermann, Neil Tenenholtz, Jimmy Hall, Olivier Gevaert, Ava P. Amini, Lorin Crawford, Kristen Severson
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Tackling the complexity of cancer with generative models
  
  Ashley Conard, Madeline Hughes, Jimmy Hall, Neil Tenenholtz, Eric Zimmermann, Lorin Crawford, Ava P. Amini, Kristen Severson
  
  Cell | April 2026
  
  DOI
- Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology
  
  Ekaterina Redekop, Eric Zimmermann, Ava P. Amini, Alex Lu, Neil Tenenholtz, Jimmy Hall, Lorin Crawford, Kristen Severson
  
  February 2026
  
  arXiv | February 2026
  
  Publication
- Predicting evolutionary rate as a pretraining task improves genome language model representations
  
  Micaela Elisa Consens, Kevin Kaichuang Yang, Jimmy Hall, Ashley Conard, Bo Wang, Lorin Crawford, Alan M. Moses, Alex Lu
  
  ICML 2026 | February 2026
  
  DOI
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  arXiv | July 2024
  
  Publication
- Hant: Hardware-Aware Network Transformation
  
  Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
  
  July 2021
  
  arXiv | July 2021
  
  Publication Project Project

- JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication
  
  Marija Pizurica, Eric Zimmermann, Neil Tenenholtz, Jimmy Hall, Olivier Gevaert, Ava P. Amini, Lorin Crawford, Kristen Severson
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  arXiv | July 2024
  
  Publication
- Hant: Hardware-Aware Network Transformation
  
  Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
  
  July 2021
  
  arXiv | July 2021
  
  Publication Project Project
- Tackling the complexity of cancer with generative models
  
  Ashley Conard, Madeline Hughes, Jimmy Hall, Neil Tenenholtz, Eric Zimmermann, Lorin Crawford, Ava P. Amini, Kristen Severson
  
  Cell | April 2026
  
  DOI
- Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology
  
  Ekaterina Redekop, Eric Zimmermann, Ava P. Amini, Alex Lu, Neil Tenenholtz, Jimmy Hall, Lorin Crawford, Kristen Severson
  
  February 2026
  
  arXiv | February 2026
  
  Publication
- Predicting evolutionary rate as a pretraining task improves genome language model representations
  
  Micaela Elisa Consens, Kevin Kaichuang Yang, Jimmy Hall, Ashley Conard, Bo Wang, Lorin Crawford, Alan M. Moses, Alex Lu
  
  ICML 2026 | February 2026
  
  DOI
- Hant: Hardware-Aware Network Transformation
  
  Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
  
  July 2021
  
  arXiv | July 2021
  
  Publication Project Project
- Tackling the complexity of cancer with generative models
  
  Ashley Conard, Madeline Hughes, Jimmy Hall, Neil Tenenholtz, Eric Zimmermann, Lorin Crawford, Ava P. Amini, Kristen Severson
  
  Cell | April 2026
  
  DOI
- Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology
  
  Ekaterina Redekop, Eric Zimmermann, Ava P. Amini, Alex Lu, Neil Tenenholtz, Jimmy Hall, Lorin Crawford, Kristen Severson
  
  February 2026
  
  arXiv | February 2026
  
  Publication
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  arXiv | July 2024
  
  Publication

- JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication
  
  Marija Pizurica, Eric Zimmermann, Neil Tenenholtz, Jimmy Hall, Olivier Gevaert, Ava P. Amini, Lorin Crawford, Kristen Severson
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology
  
  Ekaterina Redekop, Eric Zimmermann, Ava P. Amini, Alex Lu, Neil Tenenholtz, Jimmy Hall, Lorin Crawford, Kristen Severson
  
  February 2026
  
  arXiv | February 2026
  
  Publication
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  arXiv | July 2024
  
  Publication
- Hant: Hardware-Aware Network Transformation
  
  Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat
  
  July 2021
  
  arXiv | July 2021
  
  Publication Project Project
- Predicting evolutionary rate as a pretraining task improves genome language model representations
  
  Micaela Elisa Consens, Kevin Kaichuang Yang, Jimmy Hall, Ashley Conard, Bo Wang, Lorin Crawford, Alan M. Moses, Alex Lu
  
  ICML 2026 | February 2026
  
  DOI
- Tackling the complexity of cancer with generative models
  
  Ashley Conard, Madeline Hughes, Jimmy Hall, Neil Tenenholtz, Eric Zimmermann, Lorin Crawford, Ava P. Amini, Kristen Severson
  
  Cell | April 2026
  
  DOI

Jimmy Hall

Publications

JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication

Tackling the complexity of cancer with generative models

Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology

Predicting evolutionary rate as a pretraining task improves genome language model representations

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Hant: Hardware-Aware Network Transformation

JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Hant: Hardware-Aware Network Transformation

Tackling the complexity of cancer with generative models

Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology

Predicting evolutionary rate as a pretraining task improves genome language model representations

Hant: Hardware-Aware Network Transformation

Tackling the complexity of cancer with generative models

Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

JASPR: Joint Spatial Representation learning of histology and spatial genomics for improved virtual genomic screening and clinical prognostication

Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Hant: Hardware-Aware Network Transformation

Predicting evolutionary rate as a pretraining task improves genome language model representations

Tackling the complexity of cancer with generative models

Contact Jimmy Hall

Microsoft Research Lab – New England