Mark Brandt

Mark Brandt serves as Professor of Chemistry and Biochemistry at Rose-Hulman Institute of Technology, where he has held continuous faculty positions since 2002—advancing from Assistant Professor (2002-2008) to Associate Professor (2008-2015) and Full Professor (2015-present). He co-directs the Summer Undergraduate Research Fellowships (R-SURF) program and played a key role in establishing the biomathematics academic degree.

Education:

• B.S. in Chemistry, College of William and Mary (1982)
• M.S. in Biochemistry, Vanderbilt University (1986)
• Ph.D. in Biochemistry & Molecular Biology, University of Miami (1989)

His research centers on protein biochemistry with dual emphases: estrogen receptor hormone binding domains (directly relevant to cancer mechanisms) and carbohydrate metabolism regulation. He integrates experimental techniques from organic chemistry with computational biochemistry approaches, particularly protein structure alignment and dynamics modeling. This interdisciplinary methodology bridges industrial laboratory practices with academic research frameworks.

Publication analysis reveals a 20-year trajectory from foundational protein interaction studies (1990s ferredoxin/estrogen receptor work) toward computational bioinformatics applications (2010s protein structure alignment). Persistent themes include cancer-related protein mechanisms, enzyme functional analysis, and geometric modeling of biomolecular interactions—demonstrating consistent focus on structural biochemistry with evolving computational sophistication.

Scientific Awards:

• No scientific awards documented in provided materials

Through the R-SURF program, Brandt provides funded summer research experiences where students master industrial/academic laboratory techniques in biochemistry contexts. His academic leadership extends to curriculum development, notably co-creating Rose-Hulman's biomathematics degree program to foster quantitative biology education.

His research operations span dedicated biochemistry laboratories (NAB J313 and J315), featuring collaborative work with computational scientists like Shibberu on protein dynamics modeling. This interdisciplinary environment connects wet-lab biochemistry with algorithmic approaches, supporting both undergraduate research training and publication-driven scientific inquiry.