Matthew P. Szuromi

Doctoral Student · Theoretical & Computational Neuroscience

Boston, MA mszuromi@bu.edu mattszuromi.com

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Research Statement

Seeking to apply deep tools from mathematics and theoretical physics to hard problems in computational and theoretical neuroscience — translating rigorous, first-principles thinking into practical tools and theories.

Education

2023 – Present

Ph.D., Computational Neuroscience

Boston University · Graduate Program in Neuroscience

2016 – 2021

B.S., Pure Mathematics & Physics

University of Michigan · College of Literature, Science & the Arts

Publications

Modelling dysfunction-specific interventions for seizure termination in epilepsy

Kamaraj AK & Szuromi MP (2025). npj Systems Biology and Applications. doi:10.1038/s41540-025-00632-9

Dynamotypes for Dummies: A Toolbox, Atlas, and Tutorial for Simulating a Comprehensive Range of Realistic Synthetic Seizures

Sheckler C, Kish K, Walker Z, Barkelew G, Crisp DN, Szuromi MP, Saggio ML & Stacey WC (2025). eNeuro, 12(10), ENEURO.0200-25.2025. doi:10.1523/ENEURO.0200-25.2025

Optimization of ictal aborting stimulation using the dynamotype taxonomy

Szuromi MP, Jirsa VK & Stacey WC (2023). Journal of Computational Neuroscience, 51, 445–462. doi:10.1007/s10827-023-00859-7

Research Experience

2024 – Present

Ocker Lab — Boston University

Advisor: Dr. Gabriel Ocker

  • Building a symbolic–numerical pipeline for automated Feynman-diagram evaluation in nonlinear stochastic differential equations, including a novel proof of a generic loop-diagram counting algorithm
  • Developing a statistical field theory for cell-type-specific stochastic spiking neural networks with correlated inputs
  • Modelling thalamo-cortical network development with spike-timing-dependent plasticity during critical periods for primary sensory cortices
  • Studying stochastic state transitions in spiking networks with spike resets
2023 – Present

BRAIN Dynamics Lab — Johns Hopkins University

Advisors: Dr. Catherine Chu & Dr. Mark Kramer

  • Developing a machine-learning approach to detect hippocampal sharp-wave ripples in human stereo-EEG recordings
  • Studying the relation between hippocampal sharp-wave ripple activity and memory consolidation in humans
2023 – Present

Independent Research

  • Developing low-dimensional neural mass models as practical analytic tools for studying multi-state nonlinear systems, with application to epilepsy and neural dysfunction
2024

Han Lab — Boston University

Advisor: Dr. Xue Han

  • Developed an improved action-potential detector for in-vivo voltage-imaging datasets
2020 – 2023

Stacey Lab — University of Michigan

Advisor: Dr. William Stacey

  • Developed theoretical understanding of inconsistent efficacy of stimulatory treatments in epilepsy
  • Developed a model of seizure dynamics to understand E/I imbalance at seizure onset
2019 – 2020

Levin Lab — University of Michigan

Advisor: Dr. Daniel Levin

  • Determined properties of photomultiplier tubes for use in particle detectors

Skills

Mathematical

Nonlinear dynamics
Bifurcation theory, timescale separation, coarse-graining
Stochastic dynamics
SDEs, point processes, statistical field theory (path-integral methods)
Graph theory
Graph-enumeration algorithms
Analysis
Real & functional analysis (Volterra-kernel representations of local learning rules)
Statistics & data
Time-series analysis, spectral estimation, GLMs, HMMs

Computational

Programming
Python, MATLAB, Mathematica, C++, LaTeX, Linux/Unix
Libraries
NumPy, SciPy, SymPy, Matplotlib, PyTorch
Packages
NEST, bdtoolbox, MatCont, FOOOF, CERN ROOT

Presentations & Lectures

2025

Controlling and Probing Seizure Dynamotypes

Minisymposium · Computational Neuroscience (CNS 2025)

2023

Optimization of Ictal Aborting Stimulation

Minisymposium · SIAM Dynamical Systems (DS23)

2022

Optimization of Ictal Aborting Stimulation

Selected talk · International Conference for Technology and Analysis of Seizures (ICTALS)

2022

Optimization of Ictal Aborting Stimulation

Invited talk · University of Michigan Neural Networks Journal Club

Teaching

2022

Private Tutor

  • Taught Linear Algebra (proofs & applications) one-on-one online; developed practice problems
2019

Tutor — ACE Tutor Zone, Ann Arbor, MI

  • Taught Calculus I/II, elementary mechanics, AP Calculus & Physics, and SAT/ACT Math to individuals and small groups
2018 – 2019

Undergraduate Tutor — University of Michigan

  • Tutored Calculus I/II and elementary mechanics one-on-one

References

Available upon request.