Michael Sebek

Northeastern University

Boston, Massachusetts, United States of America

Research Expertise

network science
food science
electrochemistry
nonlinear dynamics
Mathematical Physics
Applied Mathematics
Statistical and Nonlinear Physics

About

Michael Sebek is a highly educated and experienced chemist with a passion for research and teaching. He received his Bachelor of Science in Chemistry from Truman State University in 2012, where he conducted undergraduate research in the field of analytical chemistry. He then went on to earn his Masters and Ph.D. in Chemistry from Saint Louis University by 2017, where his research focused on the interplay between network science and electrochemistry. After completing his Ph.D., Michael continued his research as a Post-Doctoral Researcher at Northeastern University, where he works in food science, network medicine, and AI/ML. His work has been published in several peer-reviewed journals and has been presented at national and international conferences.

Publications

Publisher's Note: Entropy of weighted recurrence plots [Phys. Rev. E 90 , 042919 (2014)]

Physical Review E / Sep 29, 2021

Eroglu, D., Peron, T. K. DM., Marwan, N., Rodrigues, F. A., Costa, L. da F., Sebek, M., Kiss, I. Z., & Kurths, J. (2021). Publisher’s Note: Entropy of weighted recurrence plots [Phys. Rev. E 90 , 042919 (2014)]. Physical Review E, 104(3). https://doi.org/10.1103/physreve.104.039904

Robust Weak Chimeras in Oscillator Networks with Delayed Linear and Quadratic Interactions

Physical Review Letters / Oct 19, 2017

Bick, C., Sebek, M., & Kiss, I. Z. (2017). Robust Weak Chimeras in Oscillator Networks with Delayed Linear and Quadratic Interactions. Physical Review Letters, 119(16). https://doi.org/10.1103/physrevlett.119.168301

Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks

Proceedings of the National Academy of Sciences / Aug 27, 2018

Wang, S., Herzog, E. D., Kiss, I. Z., Schwartz, W. J., Bloch, G., Sebek, M., Granados-Fuentes, D., Wang, L., & Li, J.-S. (2018). Inferring dynamic topology for decoding spatiotemporal structures in complex heterogeneous networks. Proceedings of the National Academy of Sciences, 115(37), 9300–9305. https://doi.org/10.1073/pnas.1721286115

Clinical Validation of a Blood-Based Predictive Test for Stratification of Response to Tumor Necrosis Factor Inhibitor Therapies in Rheumatoid Arthritis Patients

Network and Systems Medicine / Jul 01, 2020

Mellors, T., Withers, J. B., Ameli, A., Jones, A., Wang, M., Zhang, L., Sanchez, H. N., Santolini, M., Do Valle, I., Sebek, M., Cheng, F., Pappas, D. A., Kremer, J. M., Curtis, J. R., Johnson, K. J., Saleh, A., Ghiassian, S. D., & Akmaev, V. R. (2020). Clinical Validation of a Blood-Based Predictive Test for Stratification of Response to Tumor Necrosis Factor Inhibitor Therapies in Rheumatoid Arthritis Patients. Network and Systems Medicine, 3(1), 91–104. https://doi.org/10.1089/nsm.2020.0007

Self‐Organized Stationary Patterns in Networks of Bistable Chemical Reactions

Angewandte Chemie / Oct 06, 2016

Kouvaris, N. E., Sebek, M., Mikhailov, A. S., & Kiss, I. Z. (2016). Self‐Organized Stationary Patterns in Networks of Bistable Chemical Reactions. Angewandte Chemie, 128(42), 13461–13464. Portico. https://doi.org/10.1002/ange.201607030

Improving the generalizability of protein-ligand binding predictions with AI-Bind

Nature Communications / Apr 08, 2023

Chatterjee, A., Walters, R., Shafi, Z., Ahmed, O. S., Sebek, M., Gysi, D., Yu, R., Eliassi-Rad, T., Barabási, A.-L., & Menichetti, G. (2023). Improving the generalizability of protein-ligand binding predictions with AI-Bind. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-37572-z

Synchronization of three electrochemical oscillators: From local to global coupling

Chaos: An Interdisciplinary Journal of Nonlinear Science / Apr 01, 2018

Liu, Y., Sebek, M., Mori, F., & Kiss, I. Z. (2018). Synchronization of three electrochemical oscillators: From local to global coupling. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(4). https://doi.org/10.1063/1.5012520

Complex Rotating Waves and Long Transients in a Ring Network of Electrochemical Oscillators with Sparse Random Cross-Connections

Physical Review Letters / Feb 11, 2016

Sebek, M., Tönjes, R., & Kiss, I. Z. (2016). Complex Rotating Waves and Long Transients in a Ring Network of Electrochemical Oscillators with Sparse Random Cross-Connections. Physical Review Letters, 116(6). https://doi.org/10.1103/physrevlett.116.068701

Coherent Dynamics Enhanced by Uncorrelated Noise

Physical Review Letters / Aug 24, 2020

Nicolaou, Z. G., Sebek, M., Kiss, I. Z., & Motter, A. E. (2020). Coherent Dynamics Enhanced by Uncorrelated Noise. Physical Review Letters, 125(9). https://doi.org/10.1103/physrevlett.125.094101

Revival of oscillations from deaths in diffusively coupled nonlinear systems: Theory and experiment

Chaos: An Interdisciplinary Journal of Nonlinear Science / Jun 01, 2017

Zou, W., Sebek, M., Kiss, I. Z., & Kurths, J. (2017). Revival of oscillations from deaths in diffusively coupled nonlinear systems: Theory and experiment. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(6). https://doi.org/10.1063/1.4984927

Stationary patterns in star networks of bistable units: Theory and application to chemical reactions

Physical Review E / Apr 10, 2017

Kouvaris, N. E., Sebek, M., Iribarne, A., Díaz-Guilera, A., & Kiss, I. Z. (2017). Stationary patterns in star networks of bistable units: Theory and application to chemical reactions. Physical Review E, 95(4). https://doi.org/10.1103/physreve.95.042203

Anti-phase collective synchronization with intrinsic in-phase coupling of two groups of electrochemical oscillators

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences / Oct 28, 2019

Sebek, M., Kawamura, Y., Nott, A. M., & Kiss, I. Z. (2019). Anti-phase collective synchronization with intrinsic in-phase coupling of two groups of electrochemical oscillators. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 377(2160), 20190095. https://doi.org/10.1098/rsta.2019.0095

Spatiotemporal Patterns on a Ring Network of Oscillatory Electrochemical Reaction with Negative Global Feedback

Israel Journal of Chemistry / Feb 21, 2018

Sebek, M., & Kiss, I. Z. (2018). Spatiotemporal Patterns on a Ring Network of Oscillatory Electrochemical Reaction with Negative Global Feedback. Israel Journal of Chemistry, 58(6–7), 753–761. Portico. https://doi.org/10.1002/ijch.201700133

Universal relations of local order parameters for partially synchronized oscillators

Physical Review E / Jun 15, 2018

Omel’chenko, O. E., Sebek, M., & Kiss, I. Z. (2018). Universal relations of local order parameters for partially synchronized oscillators. Physical Review E, 97(6). https://doi.org/10.1103/physreve.97.062207

Plasticity facilitates pattern selection of networks of chemical oscillations

Chaos: An Interdisciplinary Journal of Nonlinear Science / Aug 01, 2019

Sebek, M., & Kiss, I. Z. (2019). Plasticity facilitates pattern selection of networks of chemical oscillations. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29(8). https://doi.org/10.1063/1.5109784

Network Science and Machine Learning for Precision Nutrition

Precision Nutrition / Jan 01, 2024

Sebek, M., & Menichetti, G. (2024). Network Science and Machine Learning for Precision Nutrition. In Precision Nutrition (pp. 367–402). Elsevier. https://doi.org/10.1016/b978-0-443-15315-0.00012-2

Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators

Chaos: An Interdisciplinary Journal of Nonlinear Science / Sep 01, 2023

Bomela, W., Sebek, M., Nagao, R., Singhal, B., Kiss, I. Z., & Li, J.-S. (2023). Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(9). https://doi.org/10.1063/5.0163899

Estimating Nutrient Concentration in Food Using Untargeted Metabolomics

Dec 02, 2022

Sebek, M., Menichetti, G., & Barabási, A.-L. (2022). Estimating Nutrient Concentration in Food Using Untargeted Metabolomics. https://doi.org/10.1101/2022.12.02.518912

Genomics-based annotations help unveil the molecular composition of edible plants

Jan 25, 2022

Ofaim, S., Menichetti, G., Sebek, M., & Barabási, A. L. (2022). Genomics-based annotations help unveil the molecular composition of edible plants. https://doi.org/10.1101/2022.01.24.477528

Rotational Waves in an Oscillatory Electrochemical System

ECS Meeting Abstracts / Apr 29, 2015

Sebek, M. L., & Kiss, I. Z. (2015). Rotational Waves in an Oscillatory Electrochemical System. ECS Meeting Abstracts, MA2015-01(30), 1735–1735. https://doi.org/10.1149/ma2015-01/30/1735

Rotational Waves in Rings of Electrochemical Oscillators

ECS Meeting Abstracts / Aug 05, 2014

Sebek, M. L., & Kiss, I. Z. (2014). Rotational Waves in Rings of Electrochemical Oscillators. ECS Meeting Abstracts, MA2014-02(27), 1550–1550. https://doi.org/10.1149/ma2014-02/27/1550

Education

Truman State University

Bachelor of Science, Chemistry / May, 2012

Kirksville, Missouri, United States of America

Saint Louis University

Master of Science, Chemistry / May, 2014

St Louis, Missouri, United States of America

Saint Louis University

Ph.D., Chemistry / December, 2017

St Louis, Missouri, United States of America

Experience

Truman State University

Undergraduate Researcher / August, 2010May, 2012

Constructed a procedure to apply sol-gel thin films to fiber optic cables, Performed Scanning Electron Microscopy to assess the quality of the coating | Skills: Sol-Gel Preparation, UV-Vis Spectroscopy, Scanning Electron Microscopy

Saint Louis University

Graduate Teaching Assistant / August, 2012May, 2017

Prepared and taught labs for Analytical Chemistry I, Physical Chemistry II, General Chemistry I and II

Saint Louis University

Graduate Researcher / July, 2012December, 2017

 Created a method to construct and apply networks to units of electrochemical reactions  Explored the impact of network topology and unit heterogeneity on network behavior  Built code in LabVIEW, MATLAB, and R to collect and analyze data as well as to simulate the experiments  Designed community outreach demonstration experiments for the research | Skills: Potentiometry, Anode-Cathode Systems, Electrochemical Cells, LabVIEW, MATLAB, R, TeXworks, 3D printing, Autodesk Eagle, AutoCAD

Northeastern University

Post-Doctoral Researcher / August, 2018Present

 Used network medicine approaches to predict food-drug and food-disease associations  Gathered and disambiguated resources on food composition and protein-protein interactions  Led metabolomics projects and analyzed metabolomics data  Performed both statistical and machine learning analysis of metabolomics and food composition data  Designed a machine learning/artificial intelligence pipeline to predict biochemical-protein interactions  Led and aided the development of grant proposals to both private and government organizations  Lead and organize multiple teams towards the completion of lab projects | Skills: Network Science, Data Science, Python, Metabolomics, Network Medicine, Machine Learning, Artificial Intelligence, Large Language Models, Google Cloud Platform

Links & Social Media

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