Congratulations to the 2023 Edward N. Lorenz Early Career Award Winners

Recognizing the achievements of early career researchers View in Browser SUBMIT AN ARTICLE MANAGE MY ALERTS ABOUT THE JOURNAL Chaos Congratulations to the 2023 Edward N. Lorenz Early Career Award Winners The four 2023 award winners are Gage Bonner, Tobias Braun, Sayomi Kamimoto, and Jin Song. The aim of the Edward N. Lorenz Early Career Award is to recognize outstanding research in nonlinear science by early career Chaos authors. Candidates must be within 8 years of receiving their Master's, 5 years of receiving their PhD, or a current student. Candidates must also be the first author on a paper published in Chaos during the award year and have not won the award previously.  GAGE BONNER Gage Bonner is a Postdoctoral Associate at the Rosenstiel School of Marine, Atmospheric and Earth Science of the University of Miami. He uses probabilistic techniques from Markov chain theory and transition path theory to model particle and drifter transport in the ocean. He is also interested in history-dependent random sequences and scientific computing using the Julia programming language. Bonner was born in Ontario, Canada. He obtained a B.Sc in physics from Queen's University in Kingston, Ontario in 2014. From there he studied high- energy physics at Carleton University in Ottawa, Ontario and obtained an M.Sc. in 2016. He then attended the University of Wisconsin-Madison to pursue a PhD in mathematical physics, graduating in 2022. He then joined the Nonlinear Dynamics group at RSMAES and moved to Miami later that same year. Gage Bonner University of Miami, USA GAGE BONNER'S WINNING PAPER  Improving the stability of temporal statistics in transition path theory with sparse data Gage Bonner, F. J. Beron-Vera, M. J. Olascoaga READ MORE > TOBIAS BRAUN Tobias Braun received his M.Sc. degree in physics from University Duisburg-Essen in 2017. He received his Ph.D. degree in physics at the Potsdam Institute for Climate Impact Research and University Potsdam in 2022. From 2022 to 2024, he carried out research visits to the Indian Institute of Technology Madras (Center of Excellence for Studying Critical Transitions in Complex Systems) and the Deutsche GeoForschungsZentrum Potsdam as a postdoctoral researcher. Since 2024, he has been a postdoctoral researcher at the Institute for Earth System Science and Remote Sensing, University Leipzig. In his work, he advances methods from complexity science to better understand past & present Earth System dynamics. He applies complex networks and nonlinear time series analysis techniques to the analysis of atmospheric river dynamics, natural hazards, palaeoclimate, and other complex systems. Tobias Braun University Leipzig, Germany TOBIAS BRAUN'S WINNING PAPER  Power spectral estimate for discrete data Norbert Marwan, Tobias Braun READ MORE > SAYOMI KAMIMOTO Sayomi Kamimoto is an Assistant Professor in the Department of Mathematics at Howard University in Washington, D.C., USA. She earned her Ph.D. in Mathematics from George Mason University in 2020 under the guidance of Evelyn Sander. She was a National Research Council Postdoctoral Research Associate at the U.S. Naval Research Laboratory, mentored by Ira Schwartz, until Spring 2023. She then spent the 2023–2024 academic year at the Center for Urban Science and Progress (CUSP) at New York University, advised by Maurizio Porfiri. Her current research explores collective behavior through the lens of dynamical systems, operator theory, and algebraic methods that reveal structural asymmetries in communication and coordination, with a focus on models grounded in entomological data. Sayomi Kamimoto Howard University, USA SAYOMI KAMIMOTO'S WINNING PAPER  The chaotic milling behaviors of interacting swarms after collision Sayomi Kamimoto, Jason Hindes, Ira B. Schwartz READ MORE > JIN SONG  Jin Song received his B.S. degree in Mathematics and Applied Mathematics, Harbin Institute of Technology in 2017. And he is currently a doctoral student at Academy of Mathematics and Systems Science, Chinese Academy of Sciences under Prof. Zhenya Yan. His main research interests include complex nonlinear waves, nonlinear dynamics, deep learning theory and applications in nonlinear wave equations. Jin Song Chinese Academy of Sciences, China JIN SONG'S WINNING PAPER  Formations and dynamics of two-dimensional spinning asymmetric quantum droplets controlled by a PT-symmetric potential Jin Song, Zhenya Yan, Boris A. Malomed READ MORE > EDWARD N. LORENZ EARLY CAREER AWARD FINALISTS Nonlinear dynamics of a single-gap terahertz split-ring resonator under electromagnetic radiation Gervais Dolvis Leutcho, Lyne Woodward, François Blanchard READ MORE > Formation, propagation, and excitation of matter solitons and rogue waves in chiral BECs with a current nonlinearity trapped in external potentials Jin Song, Zhenya Yan READ MORE > Constraining chaos: Enforcing dynamical invariants in the training of reservoir computers Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, et al. READ MORE > A simple modeling framework for prediction in the human glucose–insulin system Melike Sirlanci, Matthew E. Levine, Cecilia C. Low Wang, David J. Albers, et al. READ MORE > The impact of nodes of information dissemination on epidemic spreading in dynamic multiplex networks Minyu Feng, Xiangxi Li, Yuhan Li, Qin Li READ MORE > Parsimonious physics-informed random projection neural networks for initial value problems of ODEs and index-1 DAEs Gianluca Fabiani, Evangelos Galaris, Lucia Russo, Constantinos Siettos READ MORE > Using machine learning to anticipate tipping points and extrapolate to post-tipping dynamics of non-stationary dynamical systems Dhruvit Patel, Edward Ott READ MORE > Emergence of chaotic cluster synchronization in heterogeneous networks Rodrigo M. Corder, Zheng Bian, Tiago Pereira, Antonio Montalbán READ MORE > LEARN MORE ABOUT THE AWARD AND PAST WINNERS > Research and Integrity We believe there has never been a more important time to stand firm in support of independent, open science. We work hand-in-hand with the global scientific community to safeguard the integrity of science. We ensure fair and rigorous peer-review of all published manuscripts, follow COPE guidelines for publication ethics, and work with the STM Integrity Hub to protect and preserve the integrity and ethical standards that serve as the bedrock of high-quality scholarly communications.  These are just a few of the ways in which AIP Publishing lives up to the promise we made to the global research community when we joined with the American Physical Society and IOP Publishing to form Purpose-Led Publishing, a coalition committed to the simple idea that science is our only shareholder. Tell Us What You Think! Did you like this email? Yes > No >  Follow us on social media   Copyright © 2025 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747 You are receiving this email because you have opted-in to receive alerts from us. To guarantee delivery of this email please add journals@aip-info.org to your address book and safe senders list. 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