David Wild, Ph.D.
Professor of Informatics & Data Science
AI and data science applied to critical national problems
After a career leading scientific computing teams creating some of the first big data tools in the pharmaceutical industry, I have 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 my work using Google Scholar.
I am 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. I have launched three successful startup companies, and am also driving multiple initiatives to grow startups and talent pipelines across academia and industry.
In education, I founded 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. I currently teach two at-scale project-based learning classes that give students experience in real-world problems in data science and national security.
I am currently Professor in the Luddy School of Informatics, Computing and Engineering at Indiana University. You can connect with me on LinkedIn or contact me at connect (at) djwild.info.
