Manuel Kleiner is an Associate Professor in the Department of Plant and Microbial Biology at North Carolina State University. His research focuses on metabolic and physiological interactions in host-microbe systems, microbial ecology, and the application of metagenomics and high-resolution mass spectrometry to study complex microbiota-host relationships. Research Highlights: Development of metaproteomic techniques to quantify protein expression, analyze community structure via biomass contributions, and track isotope ratios to understand nutrient flow between hosts and microbiota. Creator of the "transductomics" approach to detect horizontal gene transfer via viral transduction in intestinal systems. Collaborates with researchers such as Theriot, Sartor, Sheikh, Ziegler, and Gonzalez. Recent Trends: His 2025 publications emphasize gut microbiome dynamics, maize root-microbe interactions, transplantation biology, and advancements in metaproteomic methodologies. Key themes include dietary impacts on microbiota, stable isotope probing, and synthetic microbial communities for plant and human health. Laboratory Tools: The Kleiner Lab utilizes quantitative metagenomics, high-resolution mass spectrometry, and computational modeling to dissect functional interactions in symbiotic systems across diverse environments, from marine organisms to agricultural crops.
Silas Alben is a Professor in the Department of Mathematics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. His research focuses on applied mathematics and mathematical biology, particularly fluid-structure interactions in biological systems. He employs computational simulations and laboratory experiments to study fundamental physics of flexible bodies in fluids. Research interests include biomechanics of swimming organisms, vortex dynamics in fluid-structure interactions, and thermal transport optimization. His work bridges mathematical modeling with experimental validation to understand complex physical phenomena. Publications demonstrate strong focus on fluid dynamics applications, including vortex-enhanced heat transfer, membrane flutter dynamics, and bio-inspired locomotion. Recurring themes include optimization of fluid-structure systems, vortex wake interactions, and computational methods for aeroelastic problems.
Rita Aiello is an Adjunct Associate Professor in the Department of Psychology at New York University's College of Arts & Science. Her research focuses on the cognitive and perceptual processes involved in musical listening, with particular emphasis on neuroaesthetics, music learning, and memory. She holds an Ed.D. from Columbia University and has held faculty positions at institutions including the Juilliard School and the Manhattan School of Music. Her work bridges music theory, cognitive science, and education, with a lifelong background as a classical pianist. Education: Columbia University (Ed.D.), Manhattan School of Music (M.M., B.M.), Conservatorio San Pietro a Maiella (Diploma in Music Theory) Certifications: Kodály and Orff Methods Her research explores how musical training influences cerebral dominance, the relationship between mental representations and emotional responses to music, and the cognitive underpinnings of musical memory. She has published widely on topics ranging from musical expectation to pedagogical strategies for memorization. Recent work investigates evolutionary perspectives on singing and the psychological mechanisms behind musical communication. Publications reflect interdisciplinary engagement with music's structural rules, metaphorical dimensions, and its role in human cognition. While no specific grants or awards are listed, her extensive international teaching experience includes visiting roles at institutions in Rome and Lugano, Switzerland, and an honorary appointment at Columbia University's Teachers College.
Jim Dowling is a distributed systems researcher at KTH Royal Institute of Technology, focusing on large-scale distributed systems, machine learning, and big data. His work emphasizes improving system dependability, performance, security, and scalability through middleware, peer-to-peer systems, and cloud-native solutions. He leads courses such as Advanced Course in Large Scale Machine Learning and Deep Learning and Scalable Machine Learning and Deep Learning , demonstrating his commitment to education in AI and distributed computing. His research spans topics like feature stores, Kubernetes integration, and AI-driven environmental analytics (e.g., ANIARA project for edge infrastructure automation and ExtremeEarth for Copernicus data analysis). He has contributed to scalable ML pipelines, cloud storage systems (HopsFS-S3), and hyperparameter optimization tools like Maggy. Key projects include the Hopsworks platform for machine learning operations and the development of cloud-native tools for big data analytics. His work bridges theoretical distributed systems research with practical applications in AI, healthcare, and environmental science. He has advised on numerous collaborative initiatives but no formal students are listed. His grants and lab activities are centered around Hopsworks and the ANIARA project, reflecting his focus on scalable, self-managing systems.
Michael D. Ernst is a Professor in the Computer Science & Engineering department at the University of Washington's College of Engineering. His research aims to make software more reliable, more secure, and easier (and more fun!) to produce. Previously, he was a tenured professor at MIT and a researcher at Microsoft Research. Ernst's primary technical interests are in software engineering, programming languages, type theory, security, program analysis, bug prediction, testing, and verification. His research combines strong theoretical foundations with realistic experimentation, with an eye to changing the way that software developers work. He focuses particularly on programmer productivity and developing practical tools that can be integrated into developers' workflows. Analysis of his recent publications (2018-2025) reveals a continued focus on verification techniques, program analysis, and testing methodologies. His work spans from theoretical foundations of type systems to practical applications of NLP for test generation and LLMs for test oracle creation. A consistent theme is developing lightweight, modular approaches that can be practically applied in real-world development environments. Scientific Awards: ACM Fellow (2014) John Backus Award (2009) NSF CAREER Award (2002) ACM SIGSOFT Impact Paper Award (2013) 8 ACM Distinguished Paper Awards across multiple conferences ECOOP 2011 Best Paper Award Microsoft Academic Search ranked #2 in software engineering research (2013) Ernst has received significant research funding including the NSF CAREER Award, supporting his work on program analysis and verification techniques. His research combines theoretical rigor with practical impact, often resulting in tools that are adopted by the software engineering community. He actively collaborates with researchers across institutions and has served in leadership roles for major conferences in programming languages and software engineering. His research group develops practical tools that address real challenges in software development, with a focus on making verification and analysis techniques more accessible to working developers. Current projects include applying machine learning techniques to software engineering problems while maintaining strong theoretical foundations.
Jonathan Cannon is an Assistant Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University's Faculty of Science. His research focuses on timing and rhythm in perception and action, with particular interest in timing-related neural dynamics in the basal ganglia, cerebellum, and supplementary motor area. His work combines mathematical modeling with experimental approaches to understand the neural basis of rhythm perception and production. Dr. Cannon's research interests span timing and rhythm perception , neural dynamics , dynamical systems theory , Bayesian cognition , neural oscillations , and autism research . His approach centers on formulating and simulating neurophysiological and cognitive models, drawing on dynamical systems theory and Bayesian cognitive frameworks. His work incorporates psychophysics, EEG experiments, and collaborations with experimentalists to investigate how the brain processes rhythmic information. Analysis of his recent publications reveals a strong focus on the intersection of rhythm perception, motor control, and autism spectrum disorder. His work demonstrates how beat perception co-opts motor neurophysiology, with particular attention to predictive processes in rhythmic cognition. His research shows reduced precision of motor and perceptual rhythmic timing in autistic adults, while also finding intact sequence learning abilities in certain contexts. Dr. Cannon teaches advanced courses including Machine Learning Methods for Brain Modelling and Neural Data Analysis (PSYCH 734), Computational Models in Neuroscience (NEUROSCI 3MN3), and Neuroscience Seminars. His teaching reflects his interdisciplinary approach that bridges mathematics, neuroscience, and cognitive science. Beyond his academic work, Dr. Cannon is an active musician who performs on violin and guitar, particularly in klezmer and folk music contexts. He has also demonstrated entrepreneurial spirit through founding Flying Leap Games and developing the storytelling game 'Wing It,' which successfully crowdfunded and reached numerous retailers.
Paola Alejandra Saenz Cavazos is a Visiting Researcher and postdoctoral researcher in the Department of Chemical Engineering at Imperial College London, affiliated with the Hitachi-Imperial Centre for Decarbonisation and Natural Solutions. She collaborates with Prof. Nilay Shah's research group, focusing on Negative Emissions Technologies (NETs) and their regulatory/commercial drivers. Her work bridges nature-based and engineered Carbon Dioxide Removal (CDR) methods like blue carbon and Direct Air Capture (DAC), alongside CCUS techniques such as carbon mineralization and Sustainable Aviation Fuels (SAFs). Education: PhD in Chemical Engineering from Imperial College London (supervised by Prof. Daryl R. Williams), focusing on solid sorbents for CCUS under real-world conditions. Developed experimental frameworks and characterization techniques for scaling porous materials in gas adsorption applications. Research emphasizes technical performance, environmental impact, techno-economic analysis, and geo-social considerations of decarbonization technologies. Previously, she advised industries (energy, oil/gas, cement, mining, Waste-to-Energy) on net-zero strategies through her consultancy work, helping navigate decarbonisation complexities. Labs/Teams: Active in the Hitachi-Imperial Centre for Decarbonisation and Natural Solutions, contributing to interdisciplinary decarbonisation initiatives.
Ramana Nanda is a Professor of Entrepreneurial Finance at Imperial College London's Business School and Academic Lead at the Institute for Deep Tech Entrepreneurship. He is also a Research Fellow at CEPR and Visiting Scholar at Harvard Business School. His research focuses on financing mechanisms for new ventures, venture capital dynamics, and innovation policy. Education: PhD from MIT Sloan School of Management, BA/MA in Economics from Trinity College, Cambridge. Prior to academia, he worked at Oliver Wyman in capital markets and small-business banking. Research Interests: Financing frictions in entrepreneurship, venture capital syndicates, innovation ecosystems, and policy interventions for high-potential ventures. His work bridges theory and practice, advising startups and investors in deep tech sectors addressing global challenges. Notable Awards: 2020 ERC Consolidator Grant for groundbreaking research, 2015 Kauffman Prize Medal for contributions to entrepreneurship literature. Formerly Sarofim-Rock Professor at Harvard Business School (2007-2020). Grants & Projects: Co-director of Harvard's Private Capital Project, recipient of major research grants. Advises on venture capital strategies and deep tech investments. Labs/Initiatives: Leads Imperial's Deep Tech Entrepreneurship Institute, collaborating with industry and policymakers to scale breakthrough technologies.
Thomas Efferth is Full Professor and Director of the Institute of Pharmaceutical and Biomedical Sciences at Johannes Gutenberg University Mainz, Germany. He leads the Department of Pharmaceutical Biology, specializing in molecular pharmacology and drug discovery. His research spans cancer therapeutics, infectious diseases, and traditional Chinese medicine, with a strong focus on artemisinin and natural products. Education includes a PhD from the German Cancer Research Center (1990) and habilitation from RWTH Aachen University (1997). Professional positions include research leadership at the German Cancer Research Center (2005), associate professorship at Heidelberg University (2007), and his current role since 2009. Research interests integrate systems biology approaches with: Molecular mechanisms of anticancer drugs Bioinformatic pharmacology for personalized medicine Artemisinin repurposing for cancer/viral infections Toxicological profiling of natural products Publications demonstrate strong focus on phytomedicine, antiviral therapies, and cancer drug resistance. Awards and honors include: Qihuang International Award (2017) World Academy of Sciences membership (2018) Stanford Top 2% Scientist citation ranking (2020) Dr. Wilmar Schwabe Award (2006) Multiple honorary professorships in China/Hong Kong Editorial leadership includes Editor-in-Chief roles for Phytomedicine and board memberships in 20+ journals. Society roles feature vice-presidency of the Specialty Committee on Immunology of TCM and executive positions in IUPHAR and DPhG.
Ulrich Tallarek serves as Professor of Analytical Chemistry in the Faculty of Chemistry at Philipps University of Marburg, where he has held a W3 professorship since 2011. He also serves on the Board of Directors for the Materials Science Center at the university, a position he has held since 2007. His research group focuses on the fundamental understanding of transport phenomena in porous media with applications spanning chromatography, battery technology, and microfluidic systems. The group maintains strong collaborations with institutions worldwide and secures substantial research funding for advanced computational and experimental work. Professor Tallarek's research interests center on functional porous solids, with specific focus on morphology-transport-performance relationships. His work bridges multiple scales from molecular dynamics simulations of solute behavior in nanopores to macroscopic transport in chromatographic columns and battery electrodes. Key research areas include diffusion in hierarchical porous media, electrokinetic phenomena in microfluidic systems, molecular simulation of chromatographic processes, and advanced characterization of porous materials using tomography and other techniques. His group has pioneered multiscale simulation approaches that connect molecular-level surface chemistry to macroscopic transport properties. The research output demonstrates consistent focus on understanding fundamental transport mechanisms in porous systems, with recent publications emphasizing multiscale simulation techniques, molecular dynamics studies of solvent effects in chromatography, advanced characterization of mesoporous structures, and applications to separation science and energy storage. The work shows strong integration of computational modeling with experimental validation across multiple length scales. 2003: Desty Memorial Prize for Innovation in Separation Science, The Royal Institution of Great Britain, London 2006: Young Scientist Award from DECHEMA e.V. 2011: Named Discussion Leader at the 2011 Gordon Research Conference on Physics & Chemistry of Microfluidics 2011–2012: Chairman of the German Chemical Society (GDCh), Marburg 2013: Finalist, World Technology Awards, for category Environment 2013: Named as one of the 100 most influential analytical scientists in the world (The Analytical Scientist Power List) 2017: Recipient of the Silver Jubilee Medal 2017, The Chromatographic Society, UK Professor Tallarek's research has been supported by numerous grants enabling high-performance computing resources, advanced instrumentation, and international collaborations. His group maintains strong ties with industry partners in separation science and analytical instrumentation. The Tallarek Research Group includes postdoctoral researchers, PhD students, and technical staff working across experimental and computational domains. Current projects focus on molecular simulation of chromatographic processes, advanced characterization of porous battery electrodes, and development of novel separation methodologies. The Tallarek Research Group operates state-of-the-art facilities for computational modeling, including access to high-performance computing resources at Forschungszentrum Jülich. The group also maintains experimental capabilities for chromatographic analysis, materials characterization, and microfluidic device development. Their work on physically reconstructed porous media has established new standards for connecting microstructure to transport properties in complex materials systems.
Matt Nowinski is a Collegiate Associate Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering. His professional roles include advisory board memberships and leadership positions within the department. He holds multiple degrees including a Ph.D. in Mechanical Engineering from ETH Zurich (1999), an M.S. in Computer Science from Syracuse University (2022), and prior mechanical/aerospace engineering degrees from Virginia Tech. His research focuses on asteroid dynamics (particularly D-type and V-type asteroids), gas turbine engines, aeroelasticity, and education technology. Notable areas include lightcurve analysis, surface mineralogy modeling, and machine learning applications in astronomy. His work bridges aerospace engineering with astrophysics, leveraging both experimental and computational methods. Dr. Nowinski has over 24 years of industry experience as a Boeing subject matter expert in military communications systems, complemented by academic roles at George Mason University and University of Chicago. He is a recipient of the John Jones Faculty Fellowship and Society of Distinguished Alumni honor. His research contributions span asteroid characterization, turbine blade flutter mechanisms, and telescope instrumentation. Current work emphasizes observational astronomy through the Stone Edge Observatory and Slack-based collaborative platforms. He actively contributes to advancing STEM education through innovative curricula and research integration.
Ian Hawkins is an Assistant Professor at the University of Alabama at Birmingham , focusing on Media Psychology , Intergroup Conflict , and Collective Action . He holds a Ph.D. in Communication and Media from the University of Michigan, with prior M.S. and B.S. in Psychology from Central Michigan University. His research employs social scientific methods to analyze how media representations of marginalized groups shape societal attitudes and policy preferences. Current work explores cross-device news consumption dynamics using eye-tracking to assess attention patterns in headline processing. He publishes in New Media and Society , Journal of Communication , and Psychology of Popular Media . Teaching responsibilities include Mass Communication History and Effects and Social Media Use courses. Contact: ihawkins@uab.edu
Rajamani Gounder is the R. Norris and Eleanor Shreve Professor of Chemical Engineering at Purdue University's Davidson School of Chemical Engineering. He leads the Gounder Research Group, focusing on heterogeneous catalysis, zeolite synthesis, and catalytic materials for energy and environmental applications. His work includes developing structure-function relationships in zeolites for reactions like NOx reduction, hydrocarbon conversion, and biomass processing. Education: B.S., University of Wisconsin (2006); Ph.D., UC Berkeley (2011); Postdoctoral Fellow, Caltech (2011-2013). Research Interests: The group studies catalyst design for renewable energy, petroleum processing, and pollution control. Key areas include zeolite-based catalysts for NOx abatement, propene oligomerization, and methane oxidation. They emphasize synthesizing materials with controlled active site environments to optimize reactivity and selectivity. Publications: Recent studies explore copper ion mobility in Cu-CHA zeolites, propene oligomerization in MFI voids, and NH3 oxidation kinetics. These highlight advancements in catalytic mechanisms and material design. Awards: Recognitions include the Royal Society of Chemistry Fellowship (2023), ISCRE Rutherford Aris Award (2023), and multiple teaching awards (e.g., R. Norris Shreve Award). His work has been funded by DOE, NSF, and industry partnerships. Advising & Grants: Supervises a team of ~30 students (PhD, master's, undergrad) and collaborates with the Purdue Catalysis Center. His research is supported by grants from agencies like DOE and NSF. Labs/Teams: The Gounder Group operates in Forney Hall, part of Purdue's chemical engineering facilities. They engage with CISTAR (Catalysis Center for Energy Innovation) and other interdisciplinary networks.
Federico Toschi is a Full Professor at Eindhoven University of Technology (TU/e), holding joint appointments in Applied Physics and Mathematics and Computer Science departments. His research focuses on multi-scale transport phenomena, combining statistical physics, fluid dynamics, and computational methods. He leads projects in the 4TU Centre for Multiscale Phenomena and EAISI. Education: PhD in Physics (University of Pisa, 1998) and academic background at Scuola Normale Superiore di Pisa. Interdisciplinary expertise in fluid dynamics turbulence, Lagrangian turbulence, crowd dynamics, and Lattice Boltzmann methods. Recipient of APS Fellow (2015), Euromech Fluid Mechanics Fellow (2012), and Ig Nobel Prize for Physics (2021). Research emphasizes turbulence modeling, pedestrian dynamics, and active matter, with applications in environmental flows and crowd management. His work bridges computational innovations with experimental validations. Recent articles explore kinetic data-driven turbulence modeling, pedestrian flow optimization, and turbulence effects in biological systems. Projects include digital twins for seismicity modeling and rarefied gas dynamics. Teaches fluid mechanics, computational physics, and chaos theory courses. Founded Flow Matters Holding BV, applying research to practical solutions.
Florian Muijres is an Associate Professor and Chairholder at the Experimental Zoology Group, Wageningen University & Research, where he leads the Animal Flight Lab. His research focuses on the biomechanics, aerodynamics, and flight control of natural flyers such as insects, birds, and bats, with applications in bio-inspired robotics and ecological solutions like mosquito traps and flapping-wing drones. He holds a PhD from Lund University (Sweden) and conducted postdoctoral research at the Dickinson Lab, University of Washington (USA). Research Interests: Merging experimental and computational methods, his work explores primary research on flight mechanics (e.g., mosquito evasion, butterfly gliding) and applied studies (e.g., drone design, pollinator behavior in greenhouses). His lab uses advanced videography and robotic models to study flight dynamics under real-world conditions. Labs & Teams: The Animal Flight Lab collaborates with biologists, physicists, and engineers to investigate flight adaptations in mosquitoes, bumblebees, and pied flycatchers. Projects include developing high-efficiency traps and analyzing flight performance in complex environments.
