Arti Singh is an Assistant Professor in the Department of Agronomy at Iowa State University. Her research focuses on plant breeding, soybean diseases, genomics, and phenomics, with a strong emphasis on integrating artificial intelligence and high-throughput technologies into agricultural systems. She leads projects involving AI-driven disease identification, precision agriculture, and crop improvement strategies. Her expertise includes developing machine learning models for real-time weed and insect classification (e.g., WeedNet and InsectNet), deploying drones and ground robots for crop phenotyping, and leveraging genomic data to map traits like flowering time and disease resistance in legumes. Singh collaborates on initiatives like the AIIRA Institute for Resilient Agriculture and the BioTrove biodiversity dataset. Singh’s work spans plant stress phenotyping, digital twin technologies for plant sciences, and multi-sensor phenotyping for early disease detection. Her research bridges computational methods with traditional agronomy, aiming to enhance crop resilience and sustainability in the face of environmental challenges. Her recent projects include optimizing robotic navigation for precision agriculture, improving soybean yield estimation via video analysis, and dissecting genetic architectures of traits in mungbean and soybean using GWAS and genomic tools. She actively contributes to conferences and publishes in high-impact journals, advancing both foundational and applied aspects of agricultural science.
Peter N. Belhumeur is a Professor in the Department of Computer Science at Columbia University and Director of the Laboratory for the Study of Visual Appearance (VAP LAB). He holds a Sc.B. from Brown University and a Ph.D. from Harvard University, followed by a postdoctoral fellowship at the University of Cambridge. His career includes roles at Yale University before joining Columbia in 2002. Education: Brown University (Sc.B., 1985), Harvard University (Ph.D., 1993) Postdoc: Isaac Newton Institute, University of Cambridge (1994) His research focuses on computer vision and machine learning, with applications in biodiversity and mobile technology. Notable projects include the Leafsnap, Birdsnap, and Dogsnap apps – pioneering species/breed identification tools using machine learning. He has received awards such as the PECASE, Helmholtz Prize, and EO Wilson Biodiversity Technology Pioneer Award. His work bridges academia and industry, demonstrated by collaborations with Dropbox and contributions to consumer-facing AI applications. The VAP LAB explores visual appearance modeling and computational photography.
Dr. Baijian "Justin" Yang serves as the Associate Dean for Research at Purdue Polytechnic Institute and is a Professor in the Department of Computer and Information Technology at Purdue University. He earned his Ph.D. in Computer Science from Michigan State University, with Master's and Bachelor's degrees in Automation (EECS) from Tsinghua University. Dr. Yang has established himself as a leader in multiple interdisciplinary research domains. Dr. Yang's educational background includes: PhD in Computer Science, Michigan State University (2002) MS in Automation (EECS), Tsinghua University (1998) BS in Automation (EECS), Tsinghua University (1995) His research interests span multiple cutting-edge domains with practical applications: Cybersecurity : Developing novel approaches for threat intelligence, security education, and network defense Big Data : Creating innovative algorithms for dimension reduction, regression with categorical variables, and tensor decomposition Applied Machine Learning : Implementing AI solutions in healthcare, manufacturing, and forestry applications Digital Forestry : Using UAV imagery and remote sensing for forest management and tree species classification Dr. Yang's publication record demonstrates significant impact across multiple disciplines, with recent work focusing on spatial transcriptomics analysis (SiGra), delirium detection using limited-lead EEG, and visual localization technologies. His research bridges theoretical advances with practical applications in healthcare, manufacturing quality control, and environmental monitoring. The interdisciplinary nature of his work is evident in collaborations spanning computer science, healthcare, forestry, and manufacturing domains. His scientific achievements have been recognized with numerous awards: 2023 HRSA Building Bridges to Better Health Competition Winner (Phase 1) and 2nd place ($100,000 prize) in Phase 3 2023 Outstanding Faculty Award in Engagement, Department of Computer and Information Technology, Purdue University 2021 Leadership in Manufacturing Award, Manufacturing Times Digital (MxD) 2021 Good to Great Award, Purdue Polytechnic 2020 Outstanding Faculty Award in Discovery, Department of Computer and Information Technology 2019 University Faculty Scholars, Purdue University As an educator and mentor, Dr. Yang has advised numerous graduate students through their PhD and Master's research. His leadership extends to significant service roles including serving as Faculty Champion for the Holistic Safety and Security research impact area at Purdue Polytechnic from 2018 to 2021, board membership with ATMAE (2014-2016), and participation in the IEEE Cybersecurity Initiative Steering Committee (2015-2017). He holds valuable industry certifications including CISSP, MCSE, and Six Sigma Black Belt, demonstrating his commitment to bridging academic research with industry practice. Dr. Yang leads multiple research projects including "Digital Forestry" for developing tools to quantify forest function, "CHEESE" (Cyber Human Ecosystem of Engaged Security Education), and "CICI" (Supporting Controlled Unclassified Information with a Campus Awareness and Risk Management Framework). His work on "Applied Machine Learning" focuses on solving real-world problems, while his "Dimension Reduction and Memory Amnestic Big Data Regression" project innovates computational algorithms for large-scale data analysis.
Dr. Ryan Carney is an Associate Professor of Digital Science at the University of South Florida's Department of Integrative Biology (College of Arts and Sciences). His research bridges paleontology and epidemiology, using cutting-edge technologies like 3D imaging, AI, and VR/AR. He studies dinosaur biomechanics (e.g., Archaeopteryx flight mechanics) and mosquito-borne diseases (e.g., malaria, Zika) through NSF/NIH-funded collaborations with agencies like NASA and the CDC. His work integrates citizen science platforms (iNaturalist, Mosquito Alert) for disease surveillance and develops AI tools for mosquito classification. Education: PhD (Brown), MPH/MBA (Yale), B.A.'s in Biology & Art (UC Berkeley) Lab: SCA 107 (focuses on digital paleontology and disease modeling) Research interests span dinosaur functional morphology, epidemiological modeling using GIS/remote sensing, and translating science through immersive technologies. He received awards like the National Geographic Emerging Explorer and multiple USF teaching/research accolades. Awards: CAS Liberal Arts Teaching Award, Outstanding Research Achievement, etc. Grants include NSF funding for AI-driven mosquito surveillance and NIH support for disease control. His lab's innovations include the Global Mosquito Observations Dashboard (GMOD) and VR reconstructions of prehistoric species.
Peter Wilf is a Professor in the Department of Geosciences at Pennsylvania State University's College of Earth & Mineral Sciences. His research focuses on fossil plants as indicators of past climates, biodiversity, and environmental disturbances from the latest Cretaceous through middle Eocene (~67-45 million years ago). Wilf leads significant research projects including the Origins of Southeast Asian Rainforests from Paleobotany and Machine Learning and the Patagonia Paleofloras Project. His research interests span paleobotany, paleoclimatology, plant-insect interactions, and biogeography, with emphasis on how deep-time data illuminate modern ecosystems and their responses to anthropogenic change. Wilf's work primarily focuses on the latest Cretaceous through middle Eocene, examining global disturbances including warming and cooling events, the end-Cretaceous mass extinction, and recovery periods. His research has significant implications for understanding climate change, biodiversity conservation, and ecosystem dynamics. Wilf's extensive publication record demonstrates consistent high-impact research across paleobotany, with recent work focusing on Southeast Asian rainforests, Patagonian paleofloras, and the connections between Gondwanan landmasses. His research integrates fieldwork in Patagonia and Southeast Asia with advanced analytical techniques, including machine learning applications for fossil leaf identification. Fellow, American Association for the Advancement of Science (AAAS) 2022 Wilson Award for Excellence in Research, Penn State College of Earth & Mineral Sciences 2022 Fellow, Paleontological Society 2017 Fellow, Geological Society of America 2016 Paul F. Robertson Research Breakthrough of the Year Award, Penn State College of Earth & Mineral Sciences 2016 George W. Atherton Award for Excellence in Teaching, Pennsylvania State University 2013 Wilf maintains an active research program with numerous NSF-funded projects and international collaborations. He leads a productive lab group conducting extensive fieldwork in Patagonia, Argentina, and Southeast Asia. His research has transformed understanding of Southern Hemisphere floras, the role of Patagonia in plant evolution, and connections between ancient and modern ecosystems across continents. Wilf's laboratory serves as a hub for paleobotanical research, bringing together students, postdocs, and international collaborators to study fossil plant collections from around the world. The lab integrates traditional paleobotanical methods with cutting-edge technologies including machine learning for fossil identification and advanced imaging techniques for detailed morphological analysis.
University of California, Los AngelesUnited States
Thomas Gillespie is a Professor and Co-Chair of the Environmental Science and Engineering (D.Env.) Program at the Department of Geography, University of California, Los Angeles (UCLA). His research integrates Geographic Information Systems (GIS), remote sensing, and biogeography to study tropical dry forests in biodiversity hotspots and develop predictive models for species distribution and conservation. Education: Ph.D. in Geography, UCLA (1998) M.A. in Geography and Planning, California State University, Chico (1994) B.A. in International Affairs, University of Colorado, Boulder (1990) Research Interests: Gillespie’s work focuses on field-based floristic surveys and remote sensing analysis of tropical dry forests across the Pacific, Caribbean, and California. He combines GIS with ecological data to model biodiversity patterns, anthropogenic disturbance impacts, and climate change scenarios. His research spans biogeography, conservation science, and environmental policy. Scientific Awards: NASA Earth and Space Science Fellowship Grants: Gillespie has secured major grants from the National Science Foundation (NSF), Environmental Protection Agency (EPA), National Institutes of Health (NIA, NICHD), and MacArthur Foundation for projects on urban greening, disaster recovery, and tropical forest conservation.
Linda J. Harris, Ph.D., is a Distinguished Professor of Cooperative Extension in Microbial Food Safety at the University of California, Davis, within the Department of Food Science and Technology. She served as Department Chair from 2016 to 2021. Her research focuses on microbial food safety, particularly in fresh produce and tree nuts, emphasizing pathogen behavior, antimicrobial treatments, and standard microbiological methods validation. She collaborates with food producers, processors, and government agencies to address food safety challenges. Dr. Harris earned her Ph.D. in Food Science from North Carolina State University in 1991. Her work integrates laboratory studies with extension activities to ensure practical applications in food safety. Key areas include evaluating pathogen survival on produce, developing sanitation protocols, and assessing risks associated with low-moisture foods. Her research trends highlight advancements in pathogen detection (e.g., MALDI-TOF technology), contamination prevention in postharvest handling, and consumer practices affecting food safety (e.g., homemade nut-based products). Recent articles address Salmonella and Listeria survival on produce, irrigation impacts on pathogens, and validation of pathogen reduction processes. Awards: 2021 AAAS Fellow 2018 Institute of Food Technologists Fellow 2004 Elmer Marth Educator Award Her advising and grants focus on low-moisture food safety, extension education, and industry partnerships. She leads initiatives like the Scientific Integrity Consortium and collaborates on national food safety guidelines. Dr. Harris is affiliated with the Robert Mondavi Institute for Wine and Food Science at UC Davis.
Ana Maria Velez is an Associate Professor at the Department of Entomology, University of Nebraska-Lincoln. Her research focuses on insect responses to chemical stressors, particularly RNA interference (RNAi) and Bt toxins for pest management. With a 80% research and 20% teaching appointment, she leads the Insect Toxicology Lab and teaches courses like 'Toxins in the Environment' and 'Insecticide Toxicology.' Education: Ph.D. in Entomology, University of Nebraska-Lincoln, 2013 M.S. in Entomology, Universidad Nacional de Colombia, 2009 B.S. in Biology, Pontificia Universidad Javeriana, Colombia, 2006 Her research spans molecular, organismal, and population levels to evaluate transgenic crops and RNAi technologies. Key areas include resistance mechanisms, non-target effects, and risk assessment frameworks. She has extensive publications on western corn rootworm and fall armyworm, emphasizing sustainable pest control. Her work also addresses sublethal impacts on non-target species like monarch butterflies and honeybees. Recent articles highlight RNAi delivery optimization, Bt resistance dynamics, and ecological impacts of insecticides. Her lab collaborates on patents for RNAi-based pest suppression methods targeting chromatin remodeling and developmental genes. Scientific Awards Distinguished Multicultural Alumni (2019) DuPont Young Professor Award (2016) International Congress of Entomology Travel Awards (2016) Widaman Trust Distinguished Graduate Assistant (2011) Milton E. Mohr Teaching Fellowship (2012) The Vélez Arango Lab investigates durability and safety of insect control technologies, with emphasis on RNAi and Bt crops. Their work informs integrated pest management (IPM) systems and regulatory frameworks.
Dr. Charlotte Kuperwasser is a distinguished Professor in the Department of Developmental, Molecular, and Chemical Biology at Tufts University School of Medicine . She directs the Tufts Convergence Laboratory and focuses on molecular mechanisms governing breast tissue development, cancer prevention, and organoid technologies. Her work integrates stem cell biology, epigenetics, and environmental influences such as endocrine disruptors. Education: Bachelor of Science (1997), University of Massachusetts Amherst PhD (2000), University of Massachusetts Amherst Jane Coffin Childs Postdoctoral Fellow (MIT/Whitehead Institute) Research Interests: Her lab develops 3D breast organoid models to study cancer initiation, microenvironmental interactions, and BRCA1-related mechanisms. Recent efforts include analyzing HPV-driven cancers via circulating tumor DNA and studying fibroblast signaling (e.g., DDR1) in tumor progression. Grants & Awards: Howard Hughes Fellowship, Merck Fellowship COG/Aventis Young Investigator Award Natalie V. Zucker Award NIH grants on V-ATPases and obesity-cancer links Professional Contributions: She chairs Tufts’ Sackler Convergence Laboratory and serves on AACR committees. Teaching includes courses on Molecular Cell Biology of Development and Cancer Genetics . Labs/Teams: Leads the Kuperwasser Lab, focusing on translational cancer research with cross-disciplinary collaborations in organoid engineering and clinical diagnostics.
Charles C. Davis is a Professor of Organismic and Evolutionary Biology at Harvard University and Curator of Vascular Plants in the Harvard University Herbaria. He leads the Davis Lab, focusing on plant diversity through integrative research in systematics, paleobiology, ecology, and molecular biology. His work emphasizes phylogenetic theory, biogeography, and the application of herbarium collections to address global change challenges. Davis is particularly noted for leveraging herbarium specimens to study plant responses to climate change, phenology, and biodiversity patterns. Research interests include plant-insect interactions, genome architecture evolution in parasitic plants, and the ethical use of herbarium specimens. His lab has pioneered high-throughput phylogenomic pipelines (e.g., PhyloHerb) and explored the future of herbaria in the digital age. Collaborations span global institutions, emphasizing digitization, spectral imaging, and AI-driven analysis of biodiversity data. Recent work highlights the impact of anthropogenic change on plant communities, the role of phenology in species survival, and strategies to mitigate collecting biases in herbaria. Davis teaches courses on plant systematics and evolution, and his lab actively participates in public engagement through exhibits like the HMNH’s *In Search of Thoreau’s Flowers*. His research has been featured in *Trends in Ecology & Evolution*, *Molecular Phylogenetics and Evolution*, and *Current Biology*, with a focus on advancing methodologies for biodiversity science while addressing ethical challenges in specimen sampling.
Brooks H. Pate is the William R. Kenan, Jr. Professor of Chemistry at the University of Virginia, Department of Chemistry, within the College of Arts and Sciences. He leads an innovative research laboratory focused on developing and applying broadband rotational spectroscopy for advanced chemical analysis. B.S., University of Virginia, 1987 Ph.D., Princeton University, 1992 NRC Postdoctoral Fellow, National Institute of Standards and Technology (NIST), Gaithersburg, 1992–1993 Dr. Pate’s research centers on molecular rotational spectroscopy , particularly the development of chirped-pulse Fourier transform rotational spectroscopy . His work enables ultra-high-resolution analysis of molecular structure, dynamics, and stereochemistry. Key areas include intramolecular dynamics , molecular clusters (especially water hexamers), and quantitative chiral analysis with applications in pharmaceutical chemistry. His lab’s instruments operate across microwave to mm-wave frequencies, allowing analysis of both small (astrochemical) and large (biomolecular) species. The recent publications demonstrate a strong trend toward real-time, in situ chemical analysis and stereochemical monitoring in synthesis. The research combines experimental spectroscopy with quantum chemical modeling to extract structural and dynamical information. Applications span from fundamental quantum tunneling phenomena in water clusters to industrial process optimization in drug synthesis. Notable scientific awards include: 2016 William F. Meggers Award, The Optical Society UVa Innovator of the Year Multiple publications in Science recognized for groundbreaking impact Dr. Pate actively mentors graduate students and postdoctoral researchers, many of whom are co-authors on high-impact publications. His lab has secured significant research funding, leading to technological innovations that have spun out into a startup company focused on faster molecular analysis. The research is supported by instrumentation development, computational modeling, and strong interdisciplinary collaborations. The Pate Lab is a hub of innovation in physical chemistry, combining cutting-edge spectroscopic techniques with practical applications in pharmaceuticals and astrochemistry. The group operates advanced rotational spectrometers, including cavity-enhanced systems for real-time sampling from reaction flasks, and maintains strong ties with national labs and industry partners.
Jing Fan is an Associate Professor of Medical Microbiology & Immunology at the University of Wisconsin-Madison and a metabolism investigator at the Morgridge Institute for Research. She serves as a faculty trainer in multiple graduate programs, including Cellular and Molecular Biology (CMB) and the Integrated Program in Biochemistry (IPiB). Education: PhD, 2014, Princeton University Her research focuses on metabolic reprogramming in immune and cancer cells, particularly macrophages and neutrophils during immune responses and tumor microenvironment interactions. She employs metabolomics, lipidomics, and fluxomics integrated with biochemical and genetic techniques. The 15 most recent publications highlight her lab's work on metabolic flexibility in neutrophils and macrophages nutrient utilization during immune activation epigenetic regulation by metabolic pathways metabolic interactions in tumor microenvironments systems-level metabolic flux analysis translational applications for immunotherapy . She leads the Fan Lab, which includes current team members such as graduate students Carlos Mellado Fritz, Nick Arp, and Jorgo Lika, alongside postdoctoral fellows James Votava and Julia Nunes. Alumni include PhD graduates Emily Britt (Thermo Fisher Scientific) and Gretchen Seim (Genentech), as well as MD/PhD graduate Laura Steenberge (University of Pittsburgh Residency).
Dr. Henry Streby is an Associate Professor of Ecology in the Department of Environmental Sciences at the University of Toledo, where he leads the Streby Lab. He also holds an appointment as Adjunct Assistant Professor and is recognized as a Fellow of the American Ornithological Society. Education: Ph.D. in Ecology from University of Minnesota Research Focus: Dr. Streby's research spans avian ecology , wildlife ecology , evolutionary biology , and quantitative science . His work particularly emphasizes organismal ecology with applications to conservation and management of migratory songbirds. Key research areas include: Migratory connectivity and seasonal interactions Conservation biology of declining songbird populations Behavioral ecology of breeding and migratory birds Quantitative methods in wildlife research Effects of environmental change on bird populations Research Impact: Dr. Streby's work has significantly advanced understanding of songbird migration, particularly in Vermivora warblers and golden-winged warblers. His 2015 Current Biology paper on tornado avoidance behavior in songbirds received extensive international media coverage and reached the 99th percentile of all articles tracked by Altmetric. His recent research continues to explore migratory connectivity, hybridization patterns, and conservation strategies for North American migratory birds. Awards and Recognition: 2021 President's Award for Excellence in Scholarly Activity (University of Toledo) Elected Fellow of the American Ornithological Society (2021) 2013 Cooper Ornithological Society Young Professional Award Multiple best presentation awards at professional conferences Student Mentorship and Lab: Dr. Streby has successfully mentored numerous graduate students who have gone on to prestigious positions. Notable former students include: Gunnar Kramer (PhD 2021) - now Assistant Professor at Iowa State University Silas Fischer - recipient of multiple awards and fellowships Sean Peterson - pursued PhD at UC Berkeley Kyle Pagel - Environmental Scientist with California Department of Fish and Wildlife Annie Lindsay - active in migration research The Streby Lab continues to be highly productive, with ongoing research on Gray Vireos, migration ecology, and conservation applications. The lab maintains active field sites and collaborates extensively with other institutions and agencies.
Professor Evan Morris is a faculty member at Yale School of Medicine in the Radiology and Biomedical Imaging department, with secondary appointments in Biomedical Engineering and Psychiatry. His work combines advanced kinetic modeling and dynamic PET imaging to visualize neurotransmitter dynamics in the brain. PhD in Chemical Engineering from Case Western Reserve University (1991) Postdoctoral fellowship at Massachusetts General Hospital (1995) Morris specializes in creating "dopamine movies" through PET imaging, revealing transient neurochemical fluctuations related to addiction, Parkinson's disease, and stress responses. His group develops novel parametric imaging methods for faster drug discovery and disease biomarker identification. Recent publications focus on: Nonsteady-state PET modeling Stress-induced opioid receptor connectivity Exercise effects on Parkinson's neuropathology EC50 image quantification Scientific recognitions include: Fulbright Senior Scholar (2015) Yale Graduate Mentor of the Year (2013) He serves as Principal Investigator for studies on nicotine addiction and collaborates across Yale's Morris Lab , PET Core , and Neural Disorders programs, advancing applications in Medical Imaging , Neurochemistry , and Biomedical Engineering .
James Reynolds is an Assistant Research Professor in the Department of Electrical and Computer Engineering at North Carolina State University, affiliated with the iBionicS Lab. His work focuses on developing innovative sensor technologies for plant and animal health monitoring, including bioimpedance-based systems and implantable devices. His research explores interdisciplinary applications such as drought stress detection in plants, wearable ECG systems for poultry, and subcutaneous sensors for real-time animal physiology tracking. Key projects include injectable microchips for animal health monitoring and bioimpedance techniques for rapid plant stress identification. Recent trends in his publications highlight advancements in agricultural technology and biomedical engineering, with a emphasis on precision agriculture, sensor integration, and multimodal physiological monitoring. His work bridges electrical engineering, plant science, and veterinary medicine to address challenges in environmental sustainability and animal welfare. Labs and teams: Active contributor to the iBionicS Lab at NC State, focusing on bionic systems and interdisciplinary sensor development.
