Koby Crammer

Koby Crammer is a researcher affiliated with the Technion - Israel Institute of Technology in Israel. Their scholarly work primarily spans the field of Computer Science, with a strong focus on Artificial Intelligence. Within this broad area, Crammer's investigations address topics including Modeling and Simulation as well as intersections with Health, Toxicology and Mutagenesis.

Crammer's recent publications demonstrate engagement with both methodological developments and applied studies linked to epidemiological and behavioral topics. The scholar's research output includes studies on COVID-19 epidemiological dynamics and climate-related health impacts, as well as works involving neuroendocrine regulation and animal vocal communication.

Notable papers authored or co-authored by Crammer include:

• Association of Social Distancing, Population Density, and Temperature With the Instantaneous Reproduction Number of SARS-CoV-2 in Counties Across the United States, 2020, published in JAMA Network Open
• TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism, 2022, published in BMC Biology
• The Association of Social Distancing, Population Density, and Temperature with the SARS-CoV-2 Instantaneous Reproduction Number in Counties Across the United States, 2020, published in bioRxiv (Cold Spring Harbor Laboratory)
• Weighted Training for Cross-Task Learning, 2021, published in arXiv (Cornell University)

Crammer often collaborates with researchers such as David M. Rubin, Jing Huang, Brian T. Fisher, Antonio Gasparrini, and Vicky Tam. Their frequent co-authors suggest a research network involved in epidemiological modeling, climate and health studies, and computational methods in biology and medicine.

The venues in which Crammer publishes reflect the interdisciplinary nature of the work, blending computational approaches with biological and medical sciences. Aside from JAMA Network Open and BMC Biology, these include bioRxiv and arXiv, which serve as important platforms for pre-publication dissemination in the scientific community.

Main research fields and subfields linked to Crammer include:

• Computer Science
• Artificial Intelligence
• Modeling and Simulation
• Health, Toxicology and Mutagenesis
• Pulmonary and Respiratory Medicine
• Social Psychology

The primary research topics addressed in Crammer's work are:

• COVID-19 epidemiological studies
• Climate Change and Health Impacts
• Infection Control and Ventilation
• Neuroendocrine regulation and behavior
• Infant Health and Development
• Animal Vocal Communication and Behavior
• COVID-19 and healthcare impacts