Charles Bergeron, Ph.D.

Bio: 

Education

  • Postdoctoral training in Mathematical Modeling at Ordway Research Institute, Albany College of Pharmacy and Health Sciences, and Rensselaer Polytechnic Institute 
  • Ph.D. in Mathematical Sciences, Rensselaer Polytechnic Institute 

Courses Taught at ACPHS

  • Calculus
  • Calculus I
  • Calculus II
  • Introduction to Laboratory Data

Research Interests

  • Machine learning and statistical learning theory 
  • Convex and nonconvex optimization 
  • Functional data analysis and visualization 
  • Biomedical engineering applications 
  • Pharmaceutical modeling 
  • Mathematics education

Selected Publications

C. Bergeron, G. Moore, J. Zaretzki, C. Breneman, K.P. Bennett. 'A fast bundle algorithm for multiple instance learning', IEEE Transactions on Pattern Analysis & Machine Intelligence, 34(6), 1068-1079, 2012.

S. Natesan, R. Subramaniam, C. Bergeron, S. Balaz. 'Binding affinity prediction for ligands and receptors forming tautomers and ionization species', Journal of Medicinal Chemistry, 55(5), 2035-2047, 2012.

C. Bergeron, M. Krein, G. Moore, C.M. Breneman, K.P. Bennett. 'Modeling choices for virtual screening hit identification', Molecular Informatics, 30(9), 765-777, 2011.

C. Bergeron, G. Moore, M. Krein, C. Breneman, K.P. Bennett. 'Exploiting domain knowledge for improved quantitative high-throughput screening curve fitting', Journal of Chemical Information and Modeling, 51(11), 2808–2820, 2011.

G. Moore, C. Bergeron, K.P. Bennett. 'Model selection for primal SVM', Machine Learning, 85(1), 175-208, 2011.

Assistant Professor
Department of Basic and Social Sciences