Caroline Uhler

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Venues

Nature communications

Proceedings of the National Academy of Sciences of the United States of America

bioRxiv : the preprint server for biology

Nature cell biology

Massachusetts Institute of Technology

University of California Berkeley (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Massachusetts Institute of Technology

United States

Henry L. and Grace Doherty Associate Professor :: EECS and IDSS

ETH Zurich

Switzerland

Visiting Professor :: D-BSSE

Massachusetts Institute of Technology

United States

Henry L. and Grace Doherty Associate Professor :: EECS and IDSS

IST Austria

Austria

Assistant Professor

University of California Berkeley

United States

Research Fellow, Semester program: Theoretical Foundations of Big Data Analysis :: Simons Institute

ETH Zurich

Switzerland

Postdoctoral Researcher, Seminar for Statistics, :: Mathematics

University of Minnesota

United States

Postdoctoral Researcher, Annual program: Mathematics of Information :: Institute of Mathematics and Its Applications

Education History

University of California Berkeley

United States

PHD :: Statistics

University of Zurich

Switzerland

MSC :: Mathematics

Publications

Xinyi Zhang, Saradha Venkatachalapathy, Daniel Paysan, Paulina Schaerer, Claudio Tripodo, Caroline Uhler, G V Shivashankar
Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS. Nature communications 15 (1) (2024)
Caroline Uhler
Building a two-way street between cell biology and machine learning. Nature cell biology 26 (1) (2024)
Xinyi Zhang, Saradha Venkatachalapathy, Daniel Paysan, Paulina Schaerer, Claudio Tripodo, Caroline Uhler, G V Shivashankar
Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS. Nature communications 15 (1) (2024)
Xinyi Zhang, Saradha Venkatachalapathy, Daniel Paysan, Paulina Schaerer, Claudio Tripodo, Caroline Uhler, G V Shivashankar
Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCIS. Nature communications 15 (1) (2024)
Xinyi Zhang, Yitong Tseo, Yunhao Bai, Fei Chen, Caroline Uhler
Prediction of protein subcellular localization in single cells. bioRxiv : the preprint server for biology (2024)
Rebecca J Carlson, J J Patten, George Stefanakis, Brian Y Soong, Adityanarayanan Radhakrishnan, Avtar Singh, Naveen Thakur, Gaya K Amarasinghe, Nir Hacohen, Christopher F Basler, Daisy W Leung, Caroline Uhler, Robert A Davey, Paul C Blainey
Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics. bioRxiv : the preprint server for biology (2024)
Xinyi Zhang, Yitong Tseo, Yunhao Bai, Fei Chen, Caroline Uhler
Prediction of protein subcellular localization in single cells. bioRxiv : the preprint server for biology (2024)
Caroline Uhler
Building a two-way street between cell biology and machine learning. Nature cell biology 26 (1) (2024)
Rebecca J Carlson, J J Patten, George Stefanakis, Brian Y Soong, Adityanarayanan Radhakrishnan, Avtar Singh, Naveen Thakur, Gaya K Amarasinghe, Nir Hacohen, Christopher F Basler, Daisy W Leung, Caroline Uhler, Robert A Davey, Paul C Blainey
Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics. bioRxiv : the preprint server for biology (2024)
Caroline Uhler
Building a two-way street between cell biology and machine learning. Nature cell biology 26 (1) (2024)
Rebecca J Carlson, J J Patten, George Stefanakis, Brian Y Soong, Adityanarayanan Radhakrishnan, Avtar Singh, Naveen Thakur, Gaya K Amarasinghe, Nir Hacohen, Christopher F Basler, Daisy W Leung, Caroline Uhler, Robert A Davey, Paul C Blainey
Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics. bioRxiv : the preprint server for biology (2024)
Rebecca J Carlson, J J Patten, George Stefanakis, Brian Y Soong, Adityanarayanan Radhakrishnan, Avtar Singh, Naveen Thakur, Gaya K Amarasinghe, Nir Hacohen, Christopher F Basler, Daisy W Leung, Caroline Uhler, Robert A Davey, Paul C Blainey
Single-cell image-based genetic screens systematically identify regulators of Ebola virus subcellular infection dynamics. bioRxiv : the preprint server for biology (2024)
Adityanarayanan Radhakrishnan, Samuel Freesun Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra, Steven A Lubitz, Anthony A Philippakis, Caroline Uhler
Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature communications 14 (1) (2023)
Adityanarayanan Radhakrishnan, Samuel Freesun Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra, Steven A Lubitz, Anthony A Philippakis, Caroline Uhler
Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature communications 14 (1) (2023)
Adityanarayanan Radhakrishnan, Samuel Freesun Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra, Steven A Lubitz, Anthony A Philippakis, Caroline Uhler
Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature communications 14 (1) (2023)
Adityanarayanan Radhakrishnan, Samuel Freesun Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra, Steven A Lubitz, Anthony A Philippakis, Caroline Uhler
Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature communications 14 (1) (2023)
Adityanarayanan Radhakrishnan, Samuel Freesun Friedman, Shaan Khurshid, Kenney Ng, Puneet Batra, Steven A Lubitz, Anthony A Philippakis, Caroline Uhler
Cross-modal autoencoder framework learns holistic representations of cardiovascular state. Nature communications 14 (1) (2023)
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Wide and deep neural networks achieve consistency for classification. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Adityanarayanan Radhakrishnan, Max Ruiz Luyten, Neha Prasad, Caroline Uhler
Transfer Learning with Kernel Methods. Nature communications 14 (1) (2023)
Jana M Braunger, Louis V Cammarata, Trinadha Rao Sornapudi, Caroline Uhler, G V Shivashankar
Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging. Aging cell (2023)
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Wide and deep neural networks achieve consistency for classification. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Wide and deep neural networks achieve consistency for classification. Proceedings of the National Academy of Sciences of the United States of America 120 (14) (2023)
Adityanarayanan Radhakrishnan, George Stefanakis, Mikhail Belkin, Caroline Uhler
Simple, fast, and flexible framework for matrix completion with infinite width neural networks. Proceedings of the National Academy of Sciences of the United States of America 119 (16) (2022)
Xinyi Zhang, Xiao Wang, G V Shivashankar, Caroline Uhler
Graph-based autoencoder integrates spatial transcriptomics with chromatin images and identifies joint biomarkers for Alzheimer's disease. Nature communications 13 (1) (2022)
Anastasiya Belyaeva, Louis Cammarata, Adityanarayanan Radhakrishnan, Chandler Squires, Karren Dai Yang, G V Shivashankar, Caroline Uhler
Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing. Nature communications 12 (1) (2021)
Karren Dai Yang, Anastasiya Belyaeva, Saradha Venkatachalapathy, Karthik Damodaran, Abigail Katcoff, Adityanarayanan Radhakrishnan, G V Shivashankar, Caroline Uhler
Multi-domain translation between single-cell imaging and sequencing data using autoencoders. Nature communications 12 (1) (2021)
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler
Overparameterized neural networks implement associative memory. Proceedings of the National Academy of Sciences of the United States of America 117 (44) (2020)
Karren Dai Yang, Karthik Damodaran, Saradha Venkatachalapathy, Ali C Soylemezoglu, G V Shivashankar, Caroline Uhler
Predicting cell lineages using autoencoders and optimal transport. PLoS computational biology 16 (4) (2020)
Anastasiya Belyaeva, Saradha Venkatachalapathy, Mallika Nagarajan, G V Shivashankar, Caroline Uhler
Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription. Proceedings of the National Academy of Sciences of the United States of America 114 (52) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Caroline Uhler