24 People Results for the Tag: Neural Networks
Howard Salis
Associate Professor of Chemical Engineering; Associate Professor of Agricultural and Biological Engineering
Engineering microorganisms for applications in synthetic biology and metabolic engineering.
Leonid Berlyand
Co-Director of the Center for Mathematics of Living and Mimetic Matter; Professor of Mathematics
Shaun Mahony
Associate Professor of Biochemistry & Molecular Biology
We apply neural networks and other machine learning approaches to understand how transcription factors control cellular identity
Vasant Honavar
Huck Chair in Biomedical Data Sciences and AI; Professor and Edward Frymoyer Chair of Information Sciences and Technology
Statistical machine learning algorithms for predictive modeling; modeling and inference of biological networks; characterization and prediction of protein-protein, protein-RNA, and protein-DNA interactions.
Reuben Kraft
Shuman Assistant Professor of Mechanical Engineering
Computational methods and high performance computing to examine brain neurotrauma biomechanics; human structural connectome analysis using physics-based predictions of biomechanical brain injury.
Runze Li
Co-Director of the Center for Statistical Genetics; Eberly Family Chair and Associate Department Head in Statistics
Nikolay Dokholyan
G. Thomas Passananti Professor of Pharmacology; Professor of Biochemistry and Molecular Biology
We are a translational systems research group in the Pharmacology at the Penn State College of Medicine. Our laboratory focuses on understanding etiologies of human diseases, such as cystic fibrosis (CF), amyotrophic lateral sclerosis (ALS), and pain conditions, such as hyperalgesia.
Center for Infectious Disease Dynamics
Carina Curto
Professor of Mathematics
Mathematics applied to and arising from theoretical and computational neuroscience.
Neural network theory and neural coding. Applied algebra, topology, and geometry.
Lingzhou Xue
Associate Professor of Statistics
High-dimensional statistics, statistical learning, optimization, econometrics, and statistical applications in biological science, environmental science, and social science.
Amulya Yadav
Assistant Professor of Information Sciences and Technology
Artificial Intelligence for Social Good, focused on developing theoretically grounded approaches that can positively impact real-world problems, particularly in the fields of public health and wildlife protection.
Prasenjit Mitra
Professor of Data Sciences
Artificial intelligence, applied machine learning, natural language processing, big data analytics, and visual analytics especially in application areas such as medical informatics, wildlife informatics, sports analytics, etc.
