Charles Bergeron, Ph.D.

Assistant Professor of Mathematics 
Department of Basic and Social Sciences
Tel: (518) 694-7141
E-mail: charles.bergeron@acphs.edu

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.