Matt Thomson

Matt Thomson

California Institute of Technology

H-index: 22

North America-United States

About Matt Thomson

Matt Thomson, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at California Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

Force Propagation in Active Cytoskeletal Networks

Generating counterfactual explanations of tumor spatial proteomes to discover effective strategies for enhancing immune infiltration

D-SPIN constructs gene regulatory network models from multiplexed scRNA-seq data revealing organizing principles of cellular perturbation response

Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references

Unexplored regions of the protein sequence-structure map revealed at scale by a library of foldtuned language models

Spatiotemporal patterning of extensile active stresses in microtubule-based active fluids

Immune profiling using small volume blood samples

Unraveling cell differentiation mechanisms through topological exploration of single-cell developmental trajectories

Matt Thomson Information

University

Position

___

Citations(all)

6368

Citations(since 2020)

3036

Cited By

4522

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

28

i10Index(since 2020)

28

Email

University Profile Page

California Institute of Technology

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Top articles of Matt Thomson

Title

Journal

Author(s)

Publication Date

Force Propagation in Active Cytoskeletal Networks

arXiv preprint arXiv:2401.04217

Shichen Liu

Wenshan Pan

Heun Jin Lee

Shahriar Shadkhoo

Fan Yang

...

2024/1/8

Generating counterfactual explanations of tumor spatial proteomes to discover effective strategies for enhancing immune infiltration

bioRxiv

Zitong Jerry Wang

Alexander M Xu

Aman Bhargava

Matt Thomson

2023

D-SPIN constructs gene regulatory network models from multiplexed scRNA-seq data revealing organizing principles of cellular perturbation response

bioRxiv

Jialong Jiang

Sisi Chen

Tiffany Tsou

Christopher S McGinnis

Tahmineh Khazaei

...

2023/4/26

Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references

Nature methods

Allan-Hermann Pool

Helen Poldsam

Sisi Chen

Matt Thomson

Yuki Oka

2023/9/11

Unexplored regions of the protein sequence-structure map revealed at scale by a library of foldtuned language models

bioRxiv

Arjuna M Subramanian

Matt Thomson

2023

Spatiotemporal patterning of extensile active stresses in microtubule-based active fluids

PNAS Nexus

Linnea M Lemma

Minu Varghese

Tyler D Ross

Matt Thomson

Aparna Baskaran

...

2023/4/12

Immune profiling using small volume blood samples

2023/8/29

Unraveling cell differentiation mechanisms through topological exploration of single-cell developmental trajectories

bioRxiv

Emanuel Flores-Bautista

Matt Thomson

2023

Extreme differences in SARS-CoV-2 viral loads among respiratory specimen types during presumed pre-infectious and infectious periods

PNAS nexus

Alexander Viloria Winnett

Reid Akana

Natasha Shelby

Hannah Davich

Saharai Caldera

...

2023/3/1

Tryage: Real-time, intelligent routing of user prompts to large language model

arXiv preprint arXiv:2308.11601

Surya Narayanan Hari

Matt Thomson

2023/8/22

Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer

arXiv preprint arXiv:2310.19902

Surya Narayanan Hari

Matt Thomson

2023/10/30

Motor processivity and speed determine structure and dynamics of microtubule-motor assemblies

Elife

Rachel A Banks

Vahe Galstyan

Heun Jin Lee

Soichi Hirokawa

Athena Ierokomos

...

2023/2/8

Automated mapping of virtual environments with visual predictive coding

arXiv preprint arXiv:2308.10913

James Gornet

Matthew Thomson

2023/8/20

TRILL: Orchestrating Modular Deep-Learning Workflows for Democratized, Scalable Protein Analysis and Engineering

bioRxiv

Zachary A Martinez

Richard M Murray

Matt W Thomson

2023/10/27

Spin glasses, error correcting codes, and synchronization of human stem cell organoids

Cell

Matt Thomson

2023/2/2

Theoretical Limits of Energy Extraction in Active Fluids

arXiv preprint arXiv:2307.00489

Shahriar Shadkhoo

Matt Thomson

2023/7/2

What's the Magic Word? A Control Theory of LLM Prompting

arXiv preprint arXiv:2310.04444

Aman Bhargava

Cameron Witkowski

Manav Shah

Matt Thomson

2023/10/2

Reinforcement Learning reveals fundamental limits on the mixing of active particles

Soft Matter

Dominik Schildknecht

Anastasia N Popova

Jack Stellwagen

Matthew Thomson

2022

Localization of signaling receptors maximizes cellular information acquisition in spatially structured natural environments

Cell Systems

Zitong Jerry Wang

Matt Thomson

2022/6/8

Minimal gene set discovery in single-cell mRNA-seq datasets with ActiveSVM

Nature Computational Science

Xiaoqiao Chen

Sisi Chen

Matt Thomson

2022/6

See List of Professors in Matt Thomson University(California Institute of Technology)

Co-Authors

H-index: 83
Tejal Desai

Tejal Desai

University of California, San Francisco

H-index: 42
Zev J Gartner

Zev J Gartner

University of California, San Francisco

H-index: 23
David A. Sivak

David A. Sivak

Simon Fraser University

H-index: 11
Ling-Nan Zou

Ling-Nan Zou

Harvard University

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