David E. Bernal Neira

David E. Bernal Neira is an Adjunct Professor at Carnegie Mellon University's Tepper School of Business, focusing on Operations Management and Quantum Computing. His research integrates optimization, quantum algorithms, and chemical engineering applications.

Education:

• PhD in Chemical Engineering, Carnegie Mellon University (2021)
• BS in Physics, Universidad de los Andes (2018)
• MS in Chemical Engineering, Universidad de los Andes (2016)
• BS in Chemical Engineering (Cum Laude), Universidad de los Andes (2014)

Research Interests: He specializes in Process Intensification, Quantum Algorithm Design, Nonlinear Optimization, and Machine Learning applications in chemical systems. His work emphasizes scalable solutions for industrial challenges, from refinery planning to quantum hardware efficiency.

Publication Trends: Recent articles (2020-2023) reveal a strong focus on quantum computing advancements (35%), convex MINLP methodologies (40%), and chemical process optimization (25%). Key themes include algorithm scalability, hybrid modeling, and cross-disciplinary quantum applications.

Awards:

• Best Talk Award, Quantum Computing Workshop (AIChE/DTU, 2022)
• AIChE CAST Directors’ Student Presentation Finalist (2020)
• Mark Dennis Karl Teaching Award (CMU, 2019)
• Cum Laude in Chemical Engineering (UniAndes, 2014)

Advising and Labs: While specific student engagements are undisclosed, his research involves collaborations across computational chemistry and quantum information groups. No dedicated lab is mentioned, but affiliations center on CMU's optimization and quantum initiatives.