Awards

March 2009 Awarded a CINF-Symyx Scolarship for Scientific Excellence at the 237th ACS National Meeting in Salt Lake City, UT.
February 2009 Awarded an IBM PhD Fellowship for 2009-2010.
June 2008 Appointed as an honorary pre-doctoral trainee in the Biomedical Informatics Training Program of the Institute for Genomics and Bioinformatics.
 

Current Research and Publications

April 2009 Chloé-Agathe Azencott, S. Joshua Swamidass and Pierre Baldi. Performance Prediction of the Influence Relevance Voter, Clearwater Learning Workshop, Spring 2009, Clearwater, FL. (poster)
March 2009 Chloé-Agathe Azencott, Matthew A. Kayala and Pierre Baldi. Combining quantitative data and qualitative knowledge to score reaction energies, ACS National Meeting, Spring 2009, Salt Lake City, UT. (poster)
February 2009 S. Joshua Swamidass, Chloé-Agathe Azencott, Ting-Wan Lin, Hugo Gramajo, Sheryl Tsai and Pierre Baldi. The Influence Relevance Voter: an Accurate and Interpretable Virtual High Throughput Screening Method, J. Chem. Inf. Model., March 2009. DOI: 10.1021/ci8004379.
April 2008 Chloé-Agathe Azencott and Pierre Baldi. Virtual High-Throughput Screening With Two-Dimensional Kernels, in Hands-On Pattern Recognition Challenges in Data Representation, Model Selection, and Performance Prediction, I. Guyon, G. Cawley, G. Dror, and A. Saffari Editors, Lulu Press, 2008.(in press)
August 2007

Invited presentation at the Agnostic Learning vs. Prior Knowledge Workshop at IJCNN 2007 (Orlando)
Chloé-Agathe Azencott and Pierre Baldi. High-Throughput Screening With Two-Dimensional Kernels [Slides]

First prize on the HIVA dataset of the Agnostic Learning vs. Prior Knowledge Challenge

March 2007 Leader of the Prior Knowledge track for the HIVA dataset of the Agnostic Learning vs. Prior Knowledge Challenge.

Chloé-Agathe Azencott, Alexandre Ksikes, S. Joshua Swamidass, Jonathan H. Chen, Liva Ralaivola and Pierre Baldi. One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical and Biological Properties, J. Chem. Inf. Model., 2007; 47(3) pp 965 - 974; DOI: 10.1021/ci600397p
October 4-6, 2006 Talk at Workshop for Women in Machine Learning (San Diego)
Chloé-Agathe Azencott and Pierre Baldi. Kernels for Predictive Regression - Physical, Biological and Chemical Properties of Small Molecules [Slides]

Attended the Grace Hopper Celebration of Women in Computing on a Donald Bren School of ICS scolarship.
August 2005 - ... Prediction of molecular properties using kernel methods
SVM and Neural Networks
Virtual High-Throughput Screening
Drug Discovery
Docking
 

Previous Projects

Apr - Jun 06 UC Irvine : Class Project
Classification of kinase inhibitors with bayesian networks
Jan - Mar 06 UC Irvine : Class Project
SVM for the predicition of mutagenicity, toxicity and carcinogenicity of molecular compounds
Sep 04 - Jan 05 ENST Bretagne : Bibliographical study
Kernel Methods and Computational Biology
Feb - June 04 Engineering School of Copenhagen: Erasmus Project
International teamwork on a project aiming at proposing a multimedia solution for the promotion of a line of studies
Feb - June 03 ENST Bretagne: Algorithmic and Programmation Project
Teamwork on the code conversion of a C program for network traffic estimation into a Java applet