Skip to content
David E. Bernal Neira
David E. Bernal Neira

David E. Bernal Neira

Assistant Professor
Davidson School of Chemical Engineering at Purdue University
Bio

David E. Bernal Neira is an Assistant Professor in the Davidson School of Chemical Engineering at Purdue University. His research focuses on the use of mathematical and computational methods to address scientific and engineering problems, particularly in process systems, energy, and chemical engineering. His core expertise lies in nonlinear discrete optimization, where he develops theory, algorithms, and software. He also conducts research in quantum computing and its intersection with optimization. He has co-authored several peer-reviewed publications, developed software tools, and delivered talks and seminars across academia, government, and industry. He has taught multiple courses, including one at the intersection of optimization, quantum computing, and machine learning, which he co-designed. He actively collaborates with researchers across academic institutions, national labs, government agencies, and industry.


Panel on Quantum Computing for the Analytics Industry

Featuring: Dr. Bill McGann / Helmut Katzgraber / E.G Nadhan

This panel will explore the transformative potential of quantum computing in the analytics industry, focusing on its applications, challenges, and future outlook. Industry experts and researchers will discuss how quantum algorithms can optimize complex data models, enhance machine learning processes, and solve problems that are computationally infeasible for classical systems. Attendees will gain insights into the current state of quantum computing, real-world use cases, and the anticipated impact on industries such as finance, supply chain, and healthcare. The session will also address barriers to adoption and strategies for integrating quantum technologies into existing analytical frameworks.