Dr. Salvador Garcia Muñoz

Professor

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Biography

Salvador Garcia Muñoz is a Senior Engineering Advisor at Eli Lilly Company and an Adjunct Faculty member at Carnegie Mellon University. He leads the efforts in building Digital Design capabilities in the small molecule design development organization at Eli Lilly. Dr. Garcia Muñoz has played a significant role in the development and commercialization of new medicines, influencing both internal and external key players to incorporate essential elements of chemical engineering and mathematics into the regulatory frameworks that govern pharmaceutical manufacturing. Prior to his current position, he spent nine years at Pfizer Global R&D as a member of the process modeling engineering technology group, where he contributed to the scale-up and transfer of drug product manufacturing processes through modeling and simulation data analytics. Before his pharmaceutical career, he worked at Aspen Technology as a business support engineer, providing consulting services in modeling, simulation, and real-time data management. He also serves as a visiting professor in the Department of Chemical Engineering at Imperial College of London, teaching an intensive course on Process Analytics using Multivariate Tools. His research interests include multivariate statistics, dynamic modeling, process monitoring, fault detection, applications of advanced control, data analytics, experimental design, and optimization of hybrid modeling.

Research Interests

Experience

Senior Engineering Advisor

— Present

Eli Lilly Company • Unknown

Leads efforts in building Digital Design capabilities in the small molecule design development organization.

Member of Process Modeling Engineering Technology Group

— Present

Pfizer Global R&D • Unknown

Contributed to the scale-up and transfer of drug product manufacturing processes.

Business Support Engineer

— Present

Aspen Technology • Unknown

Provided consulting services in modeling, simulation, and real-time data management.

Visiting Professor

— Present

Imperial College of London • London, UK

Teaches an intensive course on Process Analytics using Multivariate Tools.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.