Welcome
I am currently a PhD student at Donald Bren School of Information and Computer Sciences (UC Irvine, California), under the direction of Prof. Pierre Baldi. My focus is on artificial intelligence and machine learning and their application to life sciences, biological and chemical data, especially in the domain of drug discovery. My (tentative) PhD dissertation title is Statistical Machine Learning and Data Mining for Chemoinformatics and Drug Discovery.
Latest News
Awarded a prestigious and competitive IBM PhD Fellowship that will cover my tuition, fees and a stipend for 2009-2010 and match me with an IBM Mentor based on technical interests.
Will attend the Learning Workshop in Clearwater, FL (April 13-17, 2009) and present Performance Prediction of the Influence Relevance Voter (Chloé-Agathe Azencott, S. Joshua Swamidass, and Pierre Baldi) as a poster.
Attended the 237th ACS National Meeting in Salt Lake City, UT (March 22-26, 2009) and presented Combining quantitative data and qualitative knowledge to score reaction energies (Chloé-Agathe Azencott, Matthew A. Kayala, and Pierre Baldi). Received a CINF-Symyx Scolarship for Scientific Excellence.
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.
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. Droor, and A. Saffari Editors, Lulu Press, 2008.(in press)
-->October 24th, 2007. Advancement to Candidacy: Learning Molecular Properties: Structural Representation of Molecular Data.
-->Presentation at the Agnostic Learning vs. Prior Knowledge Workshop at IJCNN 2007 (Orlando)
-->Best Results on the HIVA dataset for the Agnostic Learning vs. Prior Knowledge Challenge.
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