Dr. Maciek Antoniewicz

Professor

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Biography

Maciek R. Antoniewicz is a Professor in the Department of Chemical Engineering at the University of Michigan. His research focuses on metabolic engineering and biotechnology, specifically the quantitative analysis of microbial and mammalian cell metabolism. With a PhD obtained from the Massachusetts Institute of Technology in 2006, he has extensive expertise in using modern techniques such as 13C metabolic flux analysis, mass spectrometry, molecular biology, bioinformatics, and computational biology. His current research interests include elucidating syntrophic interactions in microbial communities, compartment-specific flux analysis in mammalian cells, and the engineering of microbes for enhanced utilization of renewable substrates. He has received several awards, including the Elected Fellow of the American Institute for Medical and Biological Engineering, and his work has been published in prestigious journals.

Research Interests

Experience

Professor

— Present

University of Michigan Chemical Engineering Department • Ann Arbor, Michigan

Awards

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Elected Fellow

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National Academy Engineering US-EU, Frontiers Engineering Participant

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Biotechnology Bioengineering Daniel I.C. Wang Award

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Gerard J. Mangone Young Scholar Award

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Outstanding Junior Faculty Member

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National Science Foundation CAREER Award

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James E. Bailey Young Investigator Award

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DuPont Young Professor Award

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science