Michael Sebek
Northeastern University
Research Expertise
About
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
Saint Louis University
Master of Science, Chemistry / May, 2014
Saint Louis University
Ph.D., Chemistry / December, 2017
Experience
Truman State University
Undergraduate Researcher / August, 2010 — May, 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, 2012 — May, 2017
Prepared and taught labs for Analytical Chemistry I, Physical Chemistry II, General Chemistry I and II
Saint Louis University
Graduate Researcher / July, 2012 — December, 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, 2018 — Present
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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