Email

mcaudill@bcm.edu

Positions

Assistant Professor

Neuroscience
Baylor College of Medicine
Houston, TX US

Director

Data Analytics Core
Jan and Dan Duncan Neurological Research Institute Texas Children's Hospital
Houston, Texas United States

Education

BS from Wake Forest University

05/2005 - Winston-Salem, North Carolina United States

Physics

BA from Wake Forest University

05/2005 - Winston-Salem, North Carolina United States

Mathematics

PhD from Washington University in Saint Louis

12/2011 - St. Louis, Missouri United States

Physics

Postdoctoral Fellowship at University of California San Diego

San Diego, California United States

Systems Neuroscience

Honors & Awards

GAANN Fellowship Recipient

US Department of Education (09/2007)

William E. Speas Award

Wake Forest University Physics (05/2005)

Inducted to Pi Mu Epsilon

Pi Mu Epsilon Mathematics Society (05/2003)

Inducted to Sigma Pi Sigma

American Institute of Physics (05/2003)

Professional Interests

• Iterative digital signal processing for big time-series data
• Scalable statistical learning methods for object identification in large imaging datasets
• Graph-based inference of functional connectivity in brain networks
• Deep learning systems for seizure classification and prediction
• Software Development and Architecture

Professional Statement

To build a full picture of neurological disease we need to go beyond identification of aberrant gene expressions and disrupted molecular mechanisms; we need to consider cell types, circuits and systems of circuits because it is at these spatial levels that motor execution, sensory processing, learning and memory, and thoughts and emotions occur. The exquisitely timed interactions of excitation and inhibition inside individual neurons within these circuits are a large part of who we are. For more than 100 years, neuroscientists have been measuring the activities of cells and circuits. Indeed, the tools have rapidly evolved to the point where experimentalist can measure over vastly different spatial and temporal scales; from the millisecond timing of individual synapses to the global activity of millions of neurons over many days. This leads to rich data sets that can help us address how our brain works and develop interventions when disease disrupts its functioning.

Unlocking the secrets of these neural datasets requires sophisticated quantitative and computational approaches as they are usually large, high-dimensional, dynamically metastable, and often recorded in the presence of high-variance noise. Serendipitously, the advent of these complex datasets has coincided with increases in computational power that allows us to bring advanced statistical and deep learning methods to bare on these analyses. As a computational scientist, I marshal these methods in combination with applied mathematics, statistics and software development principles to interrogate how neural circuits process data, drive new hypotheses for experimentalists to test and build machine and deep learning tools for the broader neuroscience community.

Websites

Selected Publications

• Andreas J Keller, Mario Dipoppa, Morgane M Roth, Matthew S Caudill, Alessandro Ingrosso, Kenneth D Miller, Massimo Scanziani "A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex." Neuron. 2020;108(6):1181-1193. Pubmed PMID: 33301712
• Lingjie He*, Matthew S Caudill*, Junzhan Jing, Wei Wang, Yaling Sun, Jianrong Tang, Xiaolong Jiang, Huda Y Zoghbi "A weakend recurrent circuit in the hippocampus of Rett syndrome mice disrupts long-term memory representations." Neuron. 2022;110(10):1689-1699. Pubmed PMID: 35290792
• Caudill M.S., Brandt S.F., Nussinov Z., Wessel R. "An intricate phase diagram of a prevalent visual circuit reveals universal dynamics, phase transitions and resonances." Phys Rev E Stat Nonlin Soft Matter Phys. 2009;80(051923) Pubmed PMID: 20365022
• Dongwon Lee, Wu Chen, Heet Naresh Kaku, Xinming Zhuo, Eugene S Chao, Armand Soriano, Allen Kuncheria, Stephanie Flores, Joo Hyun Kim, Armando Rivera, Frank Rigo, Paymaan Jafar-nejad, Arthur L Beaudet, Matthew S Caudill, Mingshan Xue "Antisense oligonucleotide therapy rescues disturbed brain rhythms and sleep in juvenile and adult mouse models of Angelman syndrome." Elife. 2023;12(e81892) Pubmed PMID: 36594817