David Wild, Ph.D.
Professor of Informatics and Computing
Luddy School of Informatics, Computing and Engineering
Indiana University
David Wild is Professor of Informatics and Computing at Indiana University, Bloomington. After a career leading scientific computing teams creating some of the first big data tools in the pharmaceutical industry, he has spent the last twenty years innovating ways to solve complex, multi-domain problems using advanced AI and machine learning technologies that compute over highly heterogeneous data sources using topological and graph methodologies. These technologies have shown transformative impact in pharmaceutical drug discovery, first responder situational awareness, cybersecurity and risk assessment. You can access publications on his work using Google Scholar.
He is founding director of RedLab, that researches critical infrastructure technologies for first responders in adverse and complex environments. RedLab recently partnered with NIST to bring teams from around the world to solve infrastructure-denied, accurate location based services, and is currently an academic leader in the use of TAK for real-time decision making in high stress, adverse environments. He has launched several successful startup companies, and is driving multiple initiatives to grow startups and talent pipelines across academia and industry.
In education, he helped found Indiana University's graduate data science programs, scaling them to several hundred graduate students per year, including one of the first and most successful online programs. He currently teaches two at-scale project-based learning classes that give students experience in real-world problems in data science and national security.
Connect on LinkedIn or at djwild (at) iu.edu.
