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Sumit Mukherjee

Columbia University · US
Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research interests include Bioinformatics and Genomic Networks, Single-cell and spatial transcriptomics, Privacy-Preserving Technologies in Data, and COVID-19 Clinical Research Studies.
h-index
14
citations
2,704
works
90
NIH funding
—
primary concept
—
email
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Recent publications

Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models
Cell Reports 2020cited by 326position: middledoi
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
Science 2018cited by 1,515position: middledoi
Scaling single cell transcriptomics through split pool barcoding
bioRxiv (Cold Spring Harbor Laboratory) 2017cited by 38position: middledoi

Grants

Deeper Understanding of Mean-field Models
NSF2515519$240,0002025–2028PIRePORTER
Mean-Field Models in Statistics
NSF2113414$170,0002021–2025PIRePORTER
Talking Across Fields
NSF1939082$30,0002020–2020PIRePORTER
Modeling Spin Configurations and Ranking
NSF1712037$197,0452017–2021PIRePORTER

Frequent collaborators

Drew L. Sellers · University of Washington2 papers (2017–2018)Wei Chen · Johns Hopkins University2 papers (2017–2018)Anna Kuchina · University of Washington2 papers (2017–2018)Bosiljka Tasic · Allen Institute for Brain Science2 papers (2017–2018)David J. Peeler · Center for NanoScience2 papers (2017–2018)Charles M. Roco · University of Washington2 papers (2017–2018)Georg Seelig · University of Washington2 papers (2017–2018)Richard A. Muscat · University of Washington2 papers (2017–2018)Zizhen Yao · Allen Institute for Brain Science2 papers (2017–2018)Alexander Rosenberg · University of Washington2 papers (2017–2018)Suzie H. Pun · University of Washington2 papers (2017–2018)Paul Sample · Medpace (United States)1 papers (2018–2018)Lucas T. Graybuck · Allen Institute for Immunology1 papers (2018–2018)