Andrew Gersick is a Lecturer in the Department of Ecology and Evolutionary Biology at Princeton University. His research focuses on animal behavior, particularly in large social species such as spotted hyenas, zebras, and cowbirds. He explores topics including collective behavior, social dynamics, communication systems, and ecological adaptations. His work integrates field studies with technological tools like accelerometers to analyze activity patterns and signaling mechanisms. Notably, he investigates how zebra stripes repel biting flies and how hyenas use vocalizations for individual recognition. Gersick also contributes to conservation efforts, such as the Great Grevy’s Rally in Kenya, and studies social learning in avian species like cowbirds. His recent articles highlight interdisciplinary approaches, combining ecology, physiology, and technology to understand animal behavior in natural and social contexts. While no awards are explicitly listed, his contributions to understanding collective behavior and conservation biology are significant. Advising and grants: No formal advisees or grant details are provided in the text. His work appears to focus on collaborative research and field-based methodologies. Labs/Teams: No specific laboratory or team affiliations are mentioned beyond his departmental role at Princeton.
Kjell Jorner is an Assistant Professor of Digital Chemistry in the Institute for Chemical and Bioengineering at ETH Zurich's Department of Chemistry and Applied Biosciences. His research group focuses on integrating computational methods and machine learning to address challenges in chemical synthesis, materials design, and reaction prediction. Education: PhD from Uppsala University (Photochemistry of aromatic compounds) Postdoctoral studies at AstraZeneca UK (Reaction prediction using computational chemistry and ML) Postdoctoral studies at University of Toronto (Molecular design of catalysts and organic electronic materials) Research Interests: Professor Jorner's work bridges computational chemistry, machine learning, and experimental design. Key areas include: Development of quantum mechanics-machine learning hybrid approaches for reaction feasibility prediction Inverse molecular design of functional materials (e.g., singlet-fission systems) Computational catalyst optimization and high-throughput screening methods Digital tools for chemical education and cheminformatics Publication Trends (2023-2025): Recent articles demonstrate a strong focus on machine learning applications in chemistry, including reaction prediction algorithms, catalyst design frameworks, and automated molecular generation. A recurring theme is the development of computational tools to accelerate materials discovery and optimize chemical processes. Laboratory & Team: Leads the Digital Chemistry research group at ETH Zurich (HCI E 137) exploring computational approaches to chemical challenges.
Oskari Ville Pakari is a Lecturer at the School of Basic Sciences, École polytechnique fédérale de Lausanne (EPFL), affiliated with both the Institute of Physics (IPHYS) and the Swiss Plasma Center (SPH-ENS). He contributes to teaching and research, particularly in reactor physics and radiation detection. His research focuses on nuclear reactor diagnostics , gamma noise analysis , and neutron spectroscopy . He actively develops mixed reality visualization tools for radiation detection data and participates in the European CORTEX project for reactor monitoring. Selected publications highlight his work in gamma-ray imaging , neutron noise simulations , and detector system validation using advanced statistical methods like bootstrapping and Welch's technique. Teaching activities include courses on Radiation biology, protection, and applications Radiation and reactor experiments He advises PhD student Saliba Michel and collaborates with international institutions such as CEA, KIT, and LRS (Laboratory of Reactor Physics and Systems Behaviour) at EPFL.
Paul Wilson serves as the Grainger Professor of Nuclear Engineering and Chair of the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison. His research develops computational tools for modeling nuclear energy systems with applications in radiation shielding, waste management, non-proliferation, and energy policy. Education: PhD in Nuclear Engineering, University of Wisconsin-Madison (1999) Dr.-Ing in Mechanical Engineering, Technical University of Karlsruhe (1998) MS in Nuclear Engineering, University of Wisconsin-Madison (1995) B.A.Sc. in Engineering Science (Nuclear Power option), University of Toronto (1992) Wilson's research spans computational nuclear engineering with emphasis on Monte Carlo methods, nuclear fuel cycles, and proliferation analysis. His Computational Nuclear Engineering Research Group (CNERG) develops simulation tools for radiation transport, waste transmutation, and fusion systems. Key projects include the Infinity Two fusion pilot plant design and Cyclus nuclear fuel cycle simulator. Recent publications reveal strong focus on fusion energy systems (particularly stellarator-based designs like Infinity Two), machine learning applications in nuclear security, and advanced neutronics modeling. His work bridges computational methods with real-world nuclear challenges including waste management and non-proliferation. Scientific awards: Fellow of the American Nuclear Society (2023) American Nuclear Society Young Member Advancement Award (2019) American Nuclear Society Arthur Holly Compton Award (2018) Grainger Professor of Nuclear Engineering (2016) American Nuclear Society Presidential Citation (1996) Wilson advises graduate students through thesis research courses (N E 790/890/990) and has secured significant funding from the U.S. Department of Energy. His consultancy roles include work with CEA Saclay, Karlsruhe Institute of Technology, and the Blue Ribbon Commission on America’s Nuclear Energy Future. He previously served on the Generation IV Technology Roadmap Committee (2001-2003). He leads the Computational Nuclear Engineering Research Group (CNERG), which develops open-source tools including PyNE and Cyclus. The group's work spans fusion pilot plant design, nuclear security applications, and fuel cycle simulation for next-generation nuclear systems.
Dr. Richard Y. Zhao is a tenured Professor in the Department of Pathology and Microbiology-Immunology at the University of Maryland School of Medicine. His research combines molecular biology, fission yeast genetics, mammalian biology, and virology to study virus-host interactions, particularly for HIV and Zika virus. He previously held academic positions at Northwestern University and Columbia University and has contributed to over 120 peer-reviewed articles. B.S., China Oceanography University (1981) M.S., Oregon State University (1995) Ph.D., Oregon State University (1991) Postdoctoral Training, Columbia University (1991-1992) Dr. Zhao's research focuses on: Virus-host interactions and pathogenicity High-throughput drug screening for antivirals Role of viral proteins in neuroinflammation and cancer Translational genomics in precision medicine His recent publications highlight SARS-CoV-2 ORF3a, Zika envelope proteins, and HIV protease inhibitors, emphasizing host-pathogen mechanisms across species. He has served on NIH panels and editorial boards for journals like Cell Research and Retrovirology . Scientific awards include: Fellow, American Academy of Microbiology (2019) Bernard L Mirkin Endowed Chair (2001-2004) Honorary Director, Shandong Gallo Institute (2009) Distinguished Service from SCBA (2015) Outstanding Service from CBA-USA (2016) Dr. Zhao also contributes to clinical diagnostics and personalized medicine through molecular testing and pharmacogenetics programs.
Ian Gilby is an Associate Professor at the School of Human Evolution and Social Change, Arizona State University. His research focuses on the social behavior, ecology, and cognition of wild chimpanzees, particularly within the context of long-term studies at Gombe National Park, Tanzania. Gilby investigates topics such as cooperative hunting, dominance hierarchies, social bonding, and the influence of ecological factors on primate behavior. His work bridges primatology, evolutionary biology, and conservation science, with a strong emphasis on understanding the adaptive strategies of chimpanzees in complex social environments. Key themes in Gilby’s research include the evolution of cooperation, reproductive strategies, and the ecological drivers of social behavior. He has contributed significantly to studies on chimpanzee aggression, hunting tactics, and the role of vocal communication in group coordination. His findings highlight the intricate relationship between social structure, ecological conditions, and individual success in primate communities. Notably, Gilby is involved in the Gombe Chimpanzee Project, analyzing long-term datasets to address questions about data sharing in conservation science and the impacts of environmental changes on wildlife. While no formal awards or grants are explicitly mentioned in the provided texts, his extensive publication record underscores his expertise in primate behavior and ecology.
Wilfried Haerty is a Senior Group Leader in Evolutionary Genomics at the University of East Anglia (UEA), affiliated with the School of Biological Sciences and the Norwich Institute for Healthy Aging. He also holds an external position as Senior Group Leader at the Earlham Institute since December 2015, reflecting his significant role in genomics research. Institution: University of East Anglia School: School of Biological Sciences External Affiliation: Earlham Institute Position: Senior Group Leader His academic background includes a Doctor of Science from Université de Paris, awarded in 2004, based on research into reproductive isolation in Drosophila melanogaster . Dr. Haerty's research focuses on evolutionary and comparative genomics, particularly the characterization of functional non-coding sequences and long non-coding RNAs in mammalian and human genomes. He investigates evolutionary constraints and selection pressures using population-level sequence variation data. His work integrates computational and genomic approaches to understand genome evolution across species. The recent trends in his publications highlight a strong focus on genome evolution, including hybridization in cichlid fishes, NUMT dynamics in mammals, fission yeast phylogenetics, avian developmental genomics, and evolutionary behavioral responses. These reflect interdisciplinary research spanning molecular evolution, genomics, developmental biology, and ecology. No scientific awards are explicitly mentioned in the provided text. There is no mention of student advising or research grants in the available information. However, his leadership role as a Group Leader suggests involvement in mentoring researchers and managing research projects. His collaborations span multiple institutions and countries, as indicated by co-authorship on recent studies. Dr. Haerty is associated with research teams at both the University of East Anglia and the Earlham Institute, particularly within genomics and evolutionary biology groups. His work is part of broader collaborative networks in evolutionary genomics and healthy aging, including the Norwich Institute for Healthy Aging.
Professor Pavel V. Tsvetkov is a faculty member at Texas A&M University , holding the rank of Professor of Nuclear Engineering and serving as the Director of the Graduate Program in Nuclear Engineering . He is also an Affiliated Faculty member of the Multidisciplinary Engineering program . His office is located in the AIEN M205B building, and he can be contacted at tsvetkov@tamu.edu . Educational Background: Ph.D. in Nuclear Engineering, Texas A&M University (2002) M.S. in Theoretical & Experimental Reactor Physics, Moscow State Engineering Physics Institute (1995) Research Interests: Professor Tsvetkov's research spans a wide range of advanced nuclear engineering topics. His primary focus includes system analysis and optimization methods , complex engineered systems , and symbiotic nuclear energy systems . He is deeply involved in waste minimization and sustainability , particularly through the development of high-temperature gas-cooled reactors (HTGRs) and molten salt reactors (MSRs) . His work also explores direct nuclear energy conversion systems and the integration of AI and deep learning into nuclear reactor control and monitoring systems. Research Trends in Publications: Over the past few years, Professor Tsvetkov has published extensively on the application of machine learning and deep learning in nuclear engineering. His recent works focus on autonomous reactor control , reactor dynamics simulation , and remote monitoring systems using satellite data and AI. He has also contributed to the design and analysis of microreactors for space applications and molten salt reactor dynamics . Scientific Awards: George Armistead, Jr ’23 Faculty Excellence Teaching Award Advising and Grants: As Director of the Graduate Program in Nuclear Engineering, Professor Tsvetkov plays a key role in mentoring and advising graduate students. While specific student names are not listed, his leadership in the program and extensive research output suggest active involvement in student research and training. Labs and Teams: Professor Tsvetkov is associated with the Nuclear Power Engineering group at Texas A&M University, contributing to both academic and applied research in nuclear systems design and safety.
Ed Pickering is a Senior Lecturer in Metallurgy and Materials Engineering at the University of Manchester. He has held roles since 2015, advancing to Reader in 2023. His affiliations include the Henry Royce Institute (Research Area Lead for Advanced Metals Processing), the Advanced Metallics System CDT and Fusion CDT Management Boards, and industrial technical advisory panels. Ed’s work bridges academic and industrial collaboration with Rolls-Royce, UKAEA, Airbus, EDF, and Sheffield Forgemasters. Ed completed his undergraduate studies (2011) and PhD (2014) in Materials Science at the University of Cambridge, followed by a Research Associate role in Cambridge’s Rolls-Royce UTC. His academic trajectory includes: Senior Lecturer (2019–present) Reader (2023–present) Ed’s research focuses on phase transformations, microstructural characterization, and alloy development for nuclear (fission/fusion) and aerospace applications. Key themes include optimizing processing routes to enhance material properties while minimizing waste and environmental impact. His studies frequently address steel, high-entropy alloys, and novel refractory alloys, emphasizing their service performance under extreme conditions. His scientific contributions span structural integrity assessment of welded joints, machine learning applications in metallurgy, and material flow uncertainties in forging. He has also advanced heat treatment optimization for reactor steels and explored cobalt-free hardfacing alloys. Frank Fitzgerald Medal (2017) Grunfeld Memorial Medal (2021) In advising and grants, Ed leads the Materials Performance Centre (MPC) and co-leads the NEWAM project on wire-additive manufacturing. He supervises research across these initiatives and collaborates with over 30 PGR students in interdisciplinary teams. His work also involves managing technical facilities like the Advanced Metal Processing platform. Ed’s laboratory affiliations include the MPC and WAAM-based Engineering and Process Metallurgy groups, where he explores sustainable materials solutions for energy and aerospace industries.
Witold "Witek" Nazarewicz is a John A. Hannah Distinguished Professor in the Department of Physics & Astronomy at Michigan State University and serves as the Chief Scientist at the Facility for Rare Isotope Beams (FRIB). He is also a Corporate Fellow Emeritus at Oak Ridge National Laboratory (ORNL) and maintains a professorship at Warsaw University, Poland. Nazarewicz previously held positions as James McConnell Distinguished Professor at the University of Tennessee and served as Scientific Director of ORNL's Holifield Radioactive Ion Beam Facility from 1999-2012. His academic career spans multiple international institutions including Lund University, University of Cologne, Kyoto University, University of Liverpool, and Peking University. Nazarewicz's research focuses on theoretical nuclear physics with particular emphasis on exotic nuclei at the limits of nuclear existence. His work spans quantum many-body problems, physics of open quantum systems, superheavy elements, and nuclear fission. He has pioneered approaches to unify structure and reaction aspects of nuclei based on open quantum system many-body formalism, including the Gamow Shell Model. His research connects nuclear physics with high-performance computing, developing comprehensive descriptions of all nuclei through theoretical and experimental investigations of rare atomic nuclei. An analysis of Nazarewicz's recent publications reveals a strong focus on cutting-edge nuclear structure research, particularly concerning exotic nuclei near the driplines, charge radii measurements, superheavy elements, and the development of advanced computational methods. His work increasingly incorporates machine learning and Bayesian analysis techniques to address nuclear physics challenges. The publications demonstrate his leadership in connecting fundamental nuclear physics with applications in nuclear astrophysics, while also addressing foundational questions about the limits of nuclear existence and the nature of nuclear forces. Fellow of the American Physical Society Fellow of the U.K. Institute of Physics Fellow of the American Association for the Advancement of Science 2008 Carnegie Centenary Professor Honorary Doctorates from University of the West of Scotland (2009) and University of York (2019) 2012 Tom W. Bonner Prize in Nuclear Physics 2012 ORNL Distinguished Scientist 2013 UT-Battelle Corporate Fellow 2017 G.N. Flerov Prize 2025 Marian Smoluchowski Medal Nazarewicz has authored approximately 500 peer-reviewed publications with over 37,000 citations and an h-index of 103 (Web of Science). He has delivered over 220 invited talks at major international conferences and organized approximately 70 scientific meetings. His research has been supported by numerous grants from the Department of Energy, National Science Foundation, and international funding agencies. Nazarewicz plays a leadership role in major nuclear physics initiatives including the UNEDF, NUCLEI, and BAND collaborations, and has contributed to several National Academies reports on nuclear physics. As FRIB Chief Scientist, Nazarewicz leads theoretical efforts at one of the world's premier facilities for rare isotope research. His research group at MSU collaborates extensively with experimentalists worldwide, bridging theoretical predictions with cutting-edge measurements. He directs the FRIB Theory Alliance, fostering international collaboration in nuclear theory, and has established strong connections between nuclear physics and other disciplines including quantum information science and machine learning.
Karen Abbott is a Professor and Associate Chair in the Department of Biology at Case Western Reserve University, specializing in theoretical population and community ecology. Her research employs mathematical modeling to investigate species distributions, abundance fluctuations, and ecological pattern formation. Her primary research interests include: Theoretical Population and Community Ecology Spatial Synchrony in Forest Insect Outbreaks Plant-Herbivore Dynamics and Inducible Defenses Evolutionary Responses to Climate Change Invasive Species Spread Mechanisms Ecological Time Series Analysis Recent publications (2023-2025) reveal strong emphasis on spatial ecology, transient dynamics, and network theory applications. Key trends involve modeling synchrony in ecological oscillators, life history effects on consumer-resource systems, and environmental stochasticity impacts on population cycles. Her work frequently addresses how new biologically-motivated models improve understanding of unexplained ecological phenomena. Scientific awards: None mentioned in provided text. Research funding includes the eMB Collaborative Research project (2023) on mathematical approaches for spatial synchrony in ecology. While specific student advisees aren't listed, her faculty role suggests graduate and undergraduate mentoring. Her lab maintains active research in theoretical ecology as evidenced by continuous publication output. She leads the Abbott Lab (https://abbottlab480702554.wordpress.com/), which focuses on mathematical modeling of ecological systems, investigating spatial synchrony, plant-herbivore interactions, climate change effects, and transient dynamics in population cycles.
Jessika Trancik is a Professor at the Institute for Data, Systems, and Society (IDSS) at the Massachusetts Institute of Technology (MIT). She is also an external professor at the Santa Fe Institute. Her work bridges data science, engineering, and policy to understand and improve energy systems. Education: B.S. in Engineering from Cornell University Ph.D. from the University of Oxford as a Rhodes Scholar Her research focuses on the dynamic costs, performance, and environmental impacts of energy technologies across sectors including electricity, transportation, heating, and industrial processes. Key technologies studied include solar energy, wind energy, energy storage, low-carbon fuels, electric vehicles, and nuclear fission. She aims to inform climate policy and accelerate equitable and beneficial technology innovation through data-driven analysis. Prof. Trancik's prior affiliations include Columbia University’s Earth Institute and WSP International/UNOPS (now Interpeace) in Geneva, reflecting her global engagement in sustainability and development work. She has held prestigious positions and fellowships, including being a Rhodes Scholar, though specific scientific awards are not listed in the provided text. She advises students and leads research projects at MIT, though no specific advisees are named. Her work is supported by her lab or research group at IDSS, which focuses on technology evaluation and policy implications, although the exact name of the lab is not specified.
Associate Professor Stijn Glorie is an academic at the University of Adelaide, affiliated with the School of Physics, Chemistry and Earth Sciences under the Faculty of Sciences, Engineering and Technology. He holds the rank of Associate Professor since 2021 and is an ARC Future Fellow (2022–2025). His research focuses on the thermo-tectonic evolution of continental crust using multi-method thermochronology, including apatite U-Pb, fission track, Lu-Hf, and Re-Os dating. He has led the development of novel in situ dating techniques and applied these methods to regions like Central Asia, Australia, Antarctica, and India. Glorie teaches courses in Tectonics and Sedimentary Geology and coordinates research projects involving geochronology and continental evolution. His work spans from fundamental geochronological method development to applied studies addressing mountain-building, basin formation, and mineralization processes. He has contributed to major infrastructure initiatives like the AuScope EarthBank and GPlates projects, supporting industry-academia collaboration in resource geoscience. Education: PhD in Geology, Ghent University, Belgium (2012) Postdoctoral Researcher, Ghent University (2012–2013) Research Interests: Continental crust evolution and tectonic history Innovative thermochronology methods (LA-ICP-MS/MS, beta-decay dating) Fluid-assisted metamorphic processes Provenance analysis of sediments and detrital minerals Awards: ARC Future Fellowship (2022–2025) Grants/Supervision: Eligible to supervise Masters and PhD students Coordinates industry-academia partnerships through AuScope initiatives Labs/Teams: Advances in laser ablation geochronology techniques Collaborations on global thermochronology datasets (e.g., AusGeochem platform)
Aaron Sandel is an Associate Professor in the Department of Anthropology at the University of Texas at Austin , where he has been affiliated since at least 2012. He co-directs the Ngogo Chimpanzee Project and leads the Primate Ethology & Endocrinology (PEE) Lab . His research focuses on primate social bonds, emotions, and physiological metrics, with fieldwork based in Kibale National Park, Uganda . He teaches courses on biological anthropology, primate conservation, and the origins of friendship. Research Interests : Social bond formation across species Primate emotion quantification Life history and physiology Machine learning behavior analysis Comparative endocrinology Conservation biology Article Trends : Recent publications emphasize chimpanzee social dynamics, emotional/physiological metrics (via urine and breathing rate), and comparative evolutionary analysis. His work spans primatology , evolutionary anthropology , and machine learning applications , with increasing focus on gorilla sociality and human evolution in recent years.
Tomasz Kozlowski is an Associate Professor and Associate Head for Undergraduate Programs at the University of Illinois at Urbana-Champaign's Grainger College of Engineering, Department of Nuclear, Plasma, and Radiological Engineering (NPRE). He holds additional positions as Associate Professor at Poland's National Centre for Nuclear Research (NCBJ) and Affiliated Professor in Computational Science and Engineering at UIUC. His research focuses on multi-physics modeling, reactor design/safety, computational methods, and thermal-hydraulics. He has taught courses like NPRE 200 (Mathematics), NPRE 455 (Neutron Transport), and advanced modeling topics. Education: B.S., M.S., and Ph.D. in Nuclear Engineering from Purdue University (2000–2005), followed by a Docent Habilitation in Nuclear Power Safety from the Royal Institute of Technology (KTH, 2011). He has collaborated on a $2M DOE grant for fuel storage solutions and contributed to UIUC's submission for a micro-reactor license application. His work includes advanced reactor design, uncertainty quantification, and computational tools like TRACE and MCNP-ORIGEN. Research emphasizes reactor analysis methods, numerical solver development, and inverse uncertainty quantification. Over 100 publications span topics like TRISO fuel performance, BWR instability, and hydrogen production integration with microreactors. He serves as Associate Editor for Nuclear Technology and actively engages in international benchmarks (e.g., BEAVRS, OECD/NEA).
