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

Jung Lee, Ph.D.

Associate Professor · Milwaukee School of Engineering

Dr. Jung Lee is an expert in bioinformatics, drug design and molecular modeling.

Molecular Modeling Computational Biology Chemistry Biomolecular Engineering Bioinformatics

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

Tatiana Kuzmenko

Instructor of Biology · Loyola Marymount University

Seaver College of Science and Engineering

Medicinal Plants Educational Research Evolutionary Biology Molecular Biology Neurobiology

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