Hussein is Professor of Mechanical Engineering in the Hajim School of Engineering and Professor of Mathematics in the School of Arts & Sciences at the University of Rochester (UofR). He is also Staff Scientist at the DOE Laboratory for Laser Energetics. He is currently serving as Past-Chair of the Group on the Physics of Climate (GPC) within the American Physical Society (APS). Prior to UofR, he was at Los Alamos National Laboratory as a Center for Nonlinear Studies postdoc. He earned his PhD from the Johns Hopkins University under the mentorship of Gregory Eyink, Charles Meneveau, Shiyi Chen, and Ethan Vishniac. He was awarded the DOE Early CAREER Award in 2019 and selected in 2022 as one of two Young Observers by USNCTAM, which represents the mechanics community on behalf of the US National Academies. His Complex Flow group is diverse both in the composition of its members and in its research, which has appeared in cross-disciplinary journals, including Nature, Science Advances, Physical Review Letters, as well as in disciplinary journals spanning fluid mechanics, oceanography, plasma physics, applied mathematics, and astrophysics. Hussein enjoys outdoor sports, live music, and swing dancing.

Michele is a visiting scholar in MechE at UofR during 2020, working on turbulence and machine learning. He obtained his PhD in theoretical physics in 2017 at the University of Rome Tor Vergata, where he has an appointment as a Researcher. His main research activity is in the study of turbulent flows using numerical simulations. Working from both Eulerian and Lagrangian points of view, he is interested in the development of non-linear, out of equilibrium models, such as Large-Eddy-Simulation closures for the small-scale dynamics of high Reynolds or magnetohydrodynamic flows. He is responsible for the development of High-Performance Computing (HPC) codes for state-of-the-art Direct Numerical Simulation (DNS), which are typically run on supercomputers and scale up to tens of thousands of processing cores. He is also involved in the application and development of Artificial Intelligence (AI) tools to fluid flow problems such as: deep learning for the data analysis of turbulent flows and reinforcement learning/policy gradient methods for the development of smart vehicles which are able to solve optimal navigation tasks in complex environments.

Benjamin Storer is a researcher associate at the University of Rochester studying multi-scale physics in oceanographic processes and the mechanisms by which energy is transferred across scales in the world's oceans. He earned a Ph.D. in Applied Mathematics at the University of Waterloo, Canada, where he studied geophysical fluid dynamics under Francis Poulin, with a focus on model development and application to stratified quasi-geostrophic systems. He then joined the University of Rochester as Postdoctoral Research Associate from 2019 until 2022, when he was promoted to Research Associate in the Department of Mechanical Engineering. His work is primarily in computational fluid dynamics, with a focus on geophysical and oceanographic applications. In his spare time, he likes reading, running, yoga, and is a devout Star Trek fan.

Pejman Hadi Sichani joined the University of Rochester in July 2022 as a Postdoctoral Associate. He earned his master's and a Ph.D. in Mechanical Engineering from Vienna University of Technology, Austria, where he investigated the interaction of thermal and solutal stratification with turbulence in wall-bounded flows using Direct Numerical Simulations (DNS) under Prof. Alfredo Soldati. The main emphasis of his research during his Ph.D. was DNS of thermally-stratified wall-bounded turbulence to investigate the dynamics of internal gravity waves, energetics, and irreversible mixing in stably-stratified turbulence. In addition, he studied the problem of Double Diffusive Convection (DDC) under the effect of shear using fully resolved numerical simulations. His main research interests are computational fluid dynamics, environmental and geophysical fluid dynamics, and high-performance computing. In his spare time, he enjoys hiking, swimming, and reading. Pejman's favorite scientist of all time is Carl Friedrich Gauss.

Nitish was born and raised in Kathmandu, Nepal. He is currently a Ph.D. Student in Mechanical University at University of Rochester. He received a B.E. degree in Mechanical Engineering from Tribhuvan University. His research interests are in the areas of experimental and computational fluid dynamics. Outside of work, Nitish enjoys playing or listening to music, soccer, and tennis.

Mehrnoush began her PhD studies in Mechanical Engineering student at the University of Rochester in 2022. Prior to joining UofR, Mehrnoush completed her bachelor's and master's degrees in Iran where she conducted research in environmental boundary layer flows, culminating in two first author papers and a third paper as co-author. She is interested in understanding environmental flows using tools from CFD and turbulence. In her leisure time, Mehrnoush likes to do yoga, play tennis with friends, and watch movies.

Kelin began studying plasma physics as a Mechanical Engineering PhD student at the University of Rochester in September 2020, following a year of study as a Master's student. He received his B.S. in astrophysics at the University of California Santa Cruz, where he conducted computational research on the gasdynamics of active galactic nuclei. Before graduate school, he worked with children at the elementary school in his home town of Kensington, California for two years. Kelin's current work is in computational HED fluid dynamics, and his research interests inculde astrophysical jets, plasma instabilities in inertial confinement fusion, and laser wakefield acceleration. Outside of academia, Kelin enjoys skiing, history, fantasy/sci-fi, and video games.

Abdus was born and raised in Roorkee, India. He received his bachelor's degree in Mechanical Engineering from AMU Aligarh, India and master's degree in Mechanical Engineering from IIT Kanpur, India where he worked on particle laden turbulent flows. He is interested in CFD, turbulence, astrophysical and oceanic flows. In his leisure time, he likes to cook, read and travel with friends.

Dina was a researcher at the Amirkabir University of Technology in Tehran, Iran, where she investigated the electrohydrodynamic behavior of low-frequency plasmonic regions under the supervision of Amir Nader Askarpour and Sahar Noori, with a focus on model development and application to dielectric barrier discharge actuators, resulting in two first-author papers. She earned a Bachelor of Science in Electrical Engineering with a concentration in Fields and Waves and a Bachelor of Science in Aerospace Engineering with a concentration in Fluid Dynamics. Prior to enrolling at the University of Rochester, she worked as a research intern at the Shahid Beheshti University in Tehran, Iran, where she contributed to the study of the astrophysical hydrodynamic simulation of IllustrisTNG, utilizing cutting-edge Topological Data Analysis tools. Her areas of interest in research include electrohydrodynamics, hydrodynamics in astrophysical systems, and turbulence. Dina is an amateur astronomer who enjoys observing the night sky and capturing astronomical objects with her own telescope.

Afreen is a Mechanical Engineering PhD student at the University of Rochester, starting in the fall of 2019. She was born and raised in Hyderabad, India. She received her bachelor’s degree in Aeronautical Engineering from JNTU Hyderabad, India and master’s degree in Aerospace Engineering from IIT Kanpur, India. Her research interests are experimental Fluid mechanics. In her leisure time, she likes to read, cook and solve math riddles.

Siyu is a master's student in Mechanical Engineering student at the University of Rochester in 2023. Previously, she received a B.S. in Data Science and a B.A. in Anthropology from the University of Rochester. As an undergraduate, Siyu has done research and published papers in computational seismology and neural network cell segmentation. In her leisure time, Siyu likes hiking, skiing, and reading.

Hao is a Mechanical Engineering PhD student at the University of Rochester. He also received his BS degree in Mechanical Engineering at the University of Rochester. His research interests are in the areas of high energy density flows, hydrodynamic instabilities, and turbulence. He is from Shanghai, China. During his free time, he enjoys jogging, swimming, cooking and watching esports.

Yufei is an undergraduate student at the University of Rochester pursuing a degree in Computer Science and Economics. She was born in China. She likes travelling, cooking, and swimming.