Charles Bergeron, Ph.D.



  • 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 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