Arjun Krishnan
Assistant Professor · Michigan State University
Arjun Krishnan develops and applies computational data-driven approaches to unravel how our genome relates to health and disease.
Precision Medicine Big Data Genome-wide molecular networks Computational Biology Machine Learning
Zhipeng Lu, PhD
Assistant Professor of Pharmacology and Pharmaceutical Sciences · USC School of Pharmacy
An expert in RNA structures and interactions, chemical tools for RNA, RNA in genetic and infectious diseases, and computational biology.
Computational Biology Chemical tools for RNA RNA structures and interactions RNA in genetic and infectious diseases
Kam Dahlquist
Chair and Professor of Biology · Loyola Marymount University
Seaver College of Science and Engineering
Molecular Biology Science Bioinformatics Genomics Computational Biology
Serghei Mangul, PhD
Assistant Professor of Clinical Pharmacy · USC School of Pharmacy
Serghei Mangul's research focuses on improving the techniques of bioinformatics.
Bioinformatics Quantitative Biosciences Clinical Pharmacy Computational Biosciences Computational Biology
Andrew Yoak, Ph.D.
Assistant Professor · Otterbein University
Professor Yoak uses veterinary, ecological, and computer modeling focused strategies to tackle complex problems
Earth Science Fertility Control in Urban Mammals Disease Ecology Computational Biology Biology
Tomasz Arodz
Associate Professor, Graduate Program Director · VCU College of Engineering
Dr. Arodz's research focuses on machine learning and bioinformatics
Machine Learning: Nonlinear Classification Methods That Incorporate Existing Knowledge Into Training Systems Biology: Integration of Prior Biological Knowledge and Multiple Sources of Data for Pathway Discovery Computational Biology: Analysis of Role of Protein Mutations in Evolution and Disease Pattern Recognition and Machine Learning in Biomedicine Protein Evolution
Aleix Martinez
Professor | Department of Electrical and Computer Engineering · The Ohio State University
Engineering expert, with a penchant for affective computing and computer learning
Machine Learning Computer Science Pattern Recognition Computer Vision Computational Neuroscience
Pascal Van Hentenryck
Professor, Russel Chandler III Chair, industrial and systems engineering · Georgia Tech - COE
Pascal Van Hentenryck is an expert in Artificial Intelligence, Data Science, and Operations Research.
Data Engineering Analytics and Machine Learning Energy Systems Data Science Artifical Intelligence