Sandor Vajda

Professor (BME, SE)

  • Title Professor (BME, SE)
  • Office 44 Cummington St. Room 221
  • Phone 617-353-4757
  • Education PhD, Hungarian Academy of Science, 1983

Research Interests:

  • Scientific computing, primarily optimization
  • Computational chemistry and biology, including protein and peptide structure determination, protein engineering, and drug design.

Courses taught:

ENG BE 505 Molecular Bioengineering

Abbreviated CV:

Sandor Vajda received the Diploma in Electrical Engineering from the Gubkin Institute in Moscow, Russia, the Diploma in Applied Mathematics from the Eotvos Lorand University in Budapest, Hungary, and the Ph.D. degree in chemistry from the Hungarian Academy of Science. He held visiting research positions in the Department of Engineering, University of Warwick, England, and the Department of Chemistry, Princeton University. He was on the faculty of the Eotvos Lorand University, Budapest, Hungary and the Mount Sinai School of Medicine, New York, NY. Currently he is Professor of Biomedical Engineering and the co-director of the Biomolecular Engineering Research Center at Boston University.

Dr. Vajda’s early research interests were parameter estimation, system identification, and identifiability, frequently with applications to biological and chemical systems. Since 1990 he has been almost exclusively developing algorithms for modeling of biological macromolecules, with emphasis on molecular interactions and drug design. His research focuses on two important biological problems, i.e., the modeling of protein-protein interactions and the development of computational tools for drug design. The research has been funded by the National Science Foundation, the National Institute of General Medical Sciences, and the National Institute of Environmental Health Sciences. In 2004 Dr. Vajda and his graduate students founded SolMap Pharmaceuticals, Cambridge, MA, a start-up company focusing on fragment-based drug design.

Please visit Professor Vajda’s Department of Biomedical Engineering profile or his Structural Bioinformatics Lab profile for more information about his research interests.

CISE Affiliation
Affiliated Faculty
Research Areas
Computational Biology & Medicine

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