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

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

Kam Dahlquist

Chair and Professor of Biology · Loyola Marymount University

Seaver College of Science and Engineering

Molecular Biology Science Bioinformatics Genomics Computational Biology

Tomasz Arodz, Ph.D.

Associate Professor · 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

Lukasz Kurgan, Ph.D.

Robert J. Mattauch Endowed Professor and Vice Chair of Computer Science · VCU College of Engineering

Data scientist specializing in high-throughput structural bioinformatics of proteins & small RNAs.

Structural Bioinformatics Intrinsically Disordered Proteins Protein-ligand(drug) interactions Computer-aided molecular modeling Big Data Analysis

Daniel Brewer

Professor in Medical Bioinformatics and Genomics · University of East Anglia

His research is exploring how to draw on data science & machine learning for detecting cancer & improve the lives of those with cancer.

Detecting Cancer Cancer Genetics Cancer Cancer Bioinformatics Prostate Cancer

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