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Michael Hochberg is a Research Director at the French National Centre for Scientific Research (CNRS) and External Professor at the Santa Fe Institute. He is affiliated with the Institute of Evolutionary Sciences of Montpellier (ISEM) at the University of Montpellier, where he leads the Experimental Community Evolution Team. His research bridges evolutionary biology, disease ecology, and applied therapeutics. Hochberg's work explores how environmental and spatial dynamics mediate ecological and evolutionary processes, with emphasis on: Phage-bacteria coevolution and antibiotic resistance management Cancer evolution, intratumor heterogeneity, and adaptive therapies Social evolution in pathogens and transitions from parasitism to mutualism Ecosystem-level approaches to disease treatment His recent publications (2017–2021) demonstrate strong foci on evolutionary medicine, including phage steering to combat antibiotic resistance, COVID-19 mitigation modeling, tumor clonal dynamics, and ecological frameworks for disease management. These works integrate experimental data with computational models to predict therapeutic outcomes. Hochberg mentors a robust cohort of students and postdocs, with alumni now in academic roles worldwide. His lab investigates community evolution through microbial systems, cancer cell interactions, and environmental feedback on social behaviors.

• Evolutionary Biology
• Disease Ecology
• Social Evolution
• +3 more

Professor Kristina Schädler is a faculty member at the West Coast University of Applied Sciences (FH Westküste), where she serves as Professor of Data Processing within the School of Technology. She has been with the university since 2005 and also served as Dean of the Department of Technology. Her academic background includes a PhD in machine learning from TU Berlin, where she was awarded the Chorafas Research Prize for young scientists. West Coast University of Applied Sciences (since 2005) TU Berlin, Institute of Computer Science (1994-1999) Martin Luther University Halle/Wittenberg (1990-1994) Professor Schädler's research focuses on artificial intelligence and machine learning applications, particularly in image processing and data analysis. Her work spans multiple domains including industrial automation, agricultural technology, renewable energy, and animal husbandry. She has led numerous research projects that bridge academic theory with practical industrial applications, with particular emphasis on developing robust image processing systems that can be deployed in real-world settings. Her research portfolio demonstrates a consistent pattern of applying advanced machine learning techniques to solve practical problems across diverse industries. The ANIMET project, which developed facial recognition for horses, and the MaviSeg system for multichannel image segmentation represent her innovative approach to adapting computer vision technologies for specialized applications. Her work often involves close collaboration with industry partners to ensure practical relevance and implementation. Chorafas Research Prize for young scientists Innovationspreis at Equitana (2013) for the ANIMET project Professor Schädler has supervised numerous student theses that have resulted in practical applications across various domains. Her research group has secured funding from multiple sources including the European Commission, BMBF, and regional development agencies. She has established the CICAD project as a sustainable competence center for industrial image processing, which has trained multiple doctoral students through cooperative programs with the University of Lübeck. Her work demonstrates strong industry connections with companies like HIT Hinrichs Innovation + Technik, MBJ Solutions, and Fischer und Tausche Kondensatoren. Her research laboratory focuses on industrial image processing applications, with specialized equipment for 2D/3D imaging, spectral analysis, and machine learning implementation. The CICAD project established a dedicated competence center that continues to develop new applications of image processing technology across multiple industries.

• Artificial Intelligence
• Machine Learning
• Data Science
• +5 more

Amy B. Dailey is a Professor of Health Sciences at Gettysburg College, where she has established herself as a prominent social epidemiologist with expertise in health disparities research. Her academic appointment and teaching responsibilities within the Health Sciences department demonstrate her integral role in the institution's academic structure. Dr. Dailey earned her PhD from Yale University in 2006, complemented by an MPH from Tulane University (1998) and a BS from Alma College (1997). This robust educational foundation supports her interdisciplinary approach to public health research and teaching. Health disparities research across multiple population groups Social determinants of health and their impact on vulnerable communities Community-based participatory research methodologies Food insecurity and nutrition-related health outcomes Mental health and housing as determinants of wellbeing Environmental health factors affecting community health Dr. Dailey's scholarly contributions reveal significant expertise across multiple public health domains. Her recent work on food insecurity in rural settings demonstrates practical application of research to community problems, while her methodological publications on complex survey data analysis provide valuable tools for epidemiological research. The consistent focus on vulnerable populations across her publication history—from cancer screening disparities to pandemic impacts—shows a cohesive research trajectory addressing critical health equity issues. Multiple publications on food insecurity and community health partnerships (2020-2022) Extensive research on health disparities in cancer screening and colonoscopy access Methodological contributions to neighborhood effects analysis using complex survey data Environmental health research on particulate matter and breast cancer outcomes As an educator, Dr. Dailey teaches foundational courses including HS 120 Public Health and HS 328 Health Equity, where she integrates her research expertise with practical public health applications. Her collaborations with librarians on information literacy initiatives demonstrate her commitment to developing students' research capabilities within the public health discipline.

• Health disparities
• social determinants of health
• community-based participatory research
• +3 more