Congratulations to the 2024 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 2024 Edward N. Lorenz Early Career Award Winners 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. The four award winners are…Rahil Valani, Adam Giammarese, Mirko Goldmann, and Guillaume Pourcel. RAHIL VALANI Dr. Rahil Valani is a Leverhulme-Peierls Fellow at the Rudolf Peierls Centre for Theoretical Physics, University of Oxford, UK, with a research focus at the intersection of nonlinear dynamics and active matter. His academic career began at Monash University, Australia, with a bachelor's degree in aerospace engineering and science, followed by a PhD on Superwalking Droplets and Generalised Pilot-Wave Dynamics. He then worked as a Postdoctoral Researcher at the University of Adelaide, Australia, studying inertial migration of particles in curved ducts.   Lorenz's work on chaos and attractors has been a constant source of inspiration in my research career, and my own research connects Lorenz chaos with the complex motion of memory-driven active particles. It's an honor to receive the Edward N. Lorenz Early Career Award. - Rahil Valani,  University of Oxford, UK READ RAHIL'S AWARD-WINNING PAPER Infinite-memory classical wave-particle entities, attractor-driven active particles, and the diffusionless Lorenz equations R. N. Valani READ MORE > ADAM GIAMMARESE Adam Giammarese was a dual major at Rochester Institute of Technology (RIT), NY, USA, earning a BS/MS in Applied and Computational Mathematics and a BS in Mechanical Engineering in 2021. He continued his academic studies at RIT recently earning a PhD in Mathematical Modeling in 2025. His thesis, Network and Tree-Based Approaches to Data-Driven Modeling of Complex Climate Systems, focuses on equation-free modeling approaches to complex climate systems. His research interest lies in the data-driven application of nonlinear dynamics, complex networks, and machine learning to climate analyses that are too complex for classical modeling approaches.   Adam recently began working as a Staff Engineer at Numerical Advisory Solutions, Cary, North Carolina, where he applies data-driven approaches to augment traditional modeling and simulation of nuclear power plant operation and other clean energy sources. I am incredibly honored to receive this award. I started my academic career as an engineering student with career-focused aspirations, but I found a passion for applied mathematics. This award encourages me to continue pursuing my passions. - Adam Giammarese, Numerical Advisory Solutions, USA. READ ADAM'S AWARD-WINNING PAPER Reconfiguration of Amazon's connectivity in the climate system Adam Giammarese, Jacob Brown, Nishant Malik READ MORE > MIRKO GOLDMANN AND GUILLAUME POURCEL Mirko Goldmann is a Photonic Design Engineer at Akhetonics in Berlin, Germany. He received his PhD from the Institute of Cross-Disciplinary Physics and Complex Systems at the University of the Balearic Islands in Palma de Mallorca, where he focused on the numerical and analytical investigation of new concepts in photonic neuromorphic computing, delay-based reservoir computing, and artificial neural networks. Mirko successfully defended his PhD thesis, Computing with Dynamical Systems: from implementations towards novel concepts, in October 2024. Guillaume Pourcel is a PhD student at the University of Groningen in the Netherlands, focusing on non-digital computing theories in the Modeling Intelligent Dynamical Systems (MINDS) group. Prior to starting his PhD, Guillaume studied at the Arts et Métiers Engineering School, where he specialized in Neuroscience, and he also obtained a master's degree in Cognitive Science at École Normale Supérieure, in Paris. Mirko and Guillaume collaborated as part of the POST-DIGITAL ETN Project, a European initiative that bridges hardware and theory to guide the design of light-based hardware for machine learning algorithms. We are deeply honored to receive the Edward N. Lorenz Early Career Award. It encourages us to continue exploring interdisciplinary connections and to contribute to a deeper understanding of complex phenomena. The mathematical tool central to our paper, the conceptor framework, illustrates this perfectly: originally developed for cognitive models of long-term memory, it has proven valuable for addressing challenges in machine learning and hardware robustness. - Mirko Goldmann, Akhetonics, Germany  - Guillaume Pourcel, University of Groningen, the Netherlands READ MIRKO AND GUILLAUME'S AWARD-WINNING PAPER Adaptive control of recurrent neural networks using conceptors Guillaume Pourcel, Mirko Goldmann, Ingo Fischer, Miguel C. Soriano READ MORE > EDWARD N. LORENZ EARLY CAREER AWARD FINALISTS And finally, a big thank you to all the other authors who were considered for this year's award. Please explore their papers below: Mixed-mode oscillations in a three-timescale coupled Morris–Lecar system Ngoc Anh Phan, Yangyang Wang READ MORE > Model adaptive phase space reconstruction Jayesh M. Dhadphale, K. Hauke Kraemer, Maximilian Gelbrecht, Jürgen Kurths, et al. READ MORE > Detecting local perturbations of networks in a latent hyperbolic embedding space A. Longhena, M. Guillemaud, M. Chavez READ MORE > When do multiple pulses of environmental variation trigger tipping in an ecological system? Ayanava Basak, Syamal K. Dana, Nandadulal Bairagi, Ulrike Feudel READ MORE > Hybridizing traditional and next-generation reservoir computing to accurately and efficiently forecast dynamical systems R. Chepuri, D. Amzalag, T. M. Antonsen, M. Girvan READ MORE > Active fractal networks with stochastic force monopoles and force dipoles: Application to subdiffusion of chromosomal loci Sadhana Singh, Rony Granek READ MORE > A mutual information statistic for assessing state space partitions of dynamical systems Jason Lu, Michael Small READ MORE > LEARN MORE ABOUT THE AWARD AND THE PAST WINNERS > Take Our Survey to Share Insights on Research Funding Reduced U.S. government research funding is significantly impacting scientific and medical research worldwide. 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