Fri 10.16.20
Fri 10.16.20
Fri 10.16.20
Fri 10.16.20
Algorithms, data science, machine learning, network science, precision health
Algorithms, data science, machine learning, network science, precision health
Algorithms, data science, machine learning, network science, precision health
Algorithms, data science, machine learning, network science, precision health
Computational biology research at Khoury College of Computer Sciences is aimed at exploring fundamental and translational questions in biology, biotechnology, and biomedicine. We develop and apply new frameworks and methods at the intersection of multiple disciplines, including machine learning, statistics, algorithms, genetics, physics, biology, and chemistry, with the goal of improving our understanding of the molecular underpinnings of life and human health. We also develop tools and software for researchers and practitioners in the biomedical field. Our work often interrogates and integrates different types of big, biased, incomplete, and noisy data such as sequence data, networks, molecular structures, biomedical images, or mass spectra, to carry out scalable and accurate data analysis and inference. We closely collaborate with scientists in the biomedical field to help them interpret their data as well as experimentally validate hypotheses created computationally.
Computational biology research at Khoury College of Computer Sciences is aimed at exploring fundamental and translational questions in biology, biotechnology, and biomedicine. We develop and apply new frameworks and methods at the intersection of multiple disciplines, including machine learning, statistics, algorithms, genetics, physics, biology, and chemistry, with the goal of improving our understanding of the molecular underpinnings of life and human health. We also develop tools and software for researchers and practitioners in the biomedical field. Our work often interrogates and integrates different types of big, biased, incomplete, and noisy data such as sequence data, networks, molecular structures, biomedical images, or mass spectra, to carry out scalable and accurate data analysis and inference. We closely collaborate with scientists in the biomedical field to help them interpret their data as well as experimentally validate hypotheses created computationally.
Computational biology research at Khoury College of Computer Sciences is aimed at exploring fundamental and translational questions in biology, biotechnology, and biomedicine. We develop and apply new frameworks and methods at the intersection of multiple disciplines, including machine learning, statistics, algorithms, genetics, physics, biology, and chemistry, with the goal of improving our understanding of the molecular underpinnings of life and human health. We also develop tools and software for researchers and practitioners in the biomedical field. Our work often interrogates and integrates different types of big, biased, incomplete, and noisy data such as sequence data, networks, molecular structures, biomedical images, or mass spectra, to carry out scalable and accurate data analysis and inference. We closely collaborate with scientists in the biomedical field to help them interpret their data as well as experimentally validate hypotheses created computationally.
Computational biology research at Khoury College of Computer Sciences is aimed at exploring fundamental and translational questions in biology, biotechnology, and biomedicine. We develop and apply new frameworks and methods at the intersection of multiple disciplines, including machine learning, statistics, algorithms, genetics, physics, biology, and chemistry, with the goal of improving our understanding of the molecular underpinnings of life and human health. We also develop tools and software for researchers and practitioners in the biomedical field. Our work often interrogates and integrates different types of big, biased, incomplete, and noisy data such as sequence data, networks, molecular structures, biomedical images, or mass spectra, to carry out scalable and accurate data analysis and inference. We closely collaborate with scientists in the biomedical field to help them interpret their data as well as experimentally validate hypotheses created computationally.
