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Pierre Baldi

Distinguished Professor of Computer Science and Director of the Artificial Intelligence in Science Institute

Pierre Baldi works at the intersection of biology and computer science with an expertise in artificial intelligence and deep learning.

Areas of Expertise

  • Machine Learning
  • Neural Networks
  • Deep Learning
  • Artifical Intelligence

Biography

Pierre Baldi is a Distinguished Professor of computer science at the University of California, Irvine and the director of its Institute for Genomics and Bioinformatics.

Dr. Baldi's group works at the intersection of biological and computer sciences, using probabilistic/machine learning techniques to address biological problems and mine large data sets produced by massive data acquisition technologies, such as genome sequencing, high-throughput drug screening, and DNA microarrays. Current projects include the prediction of protein secondary and tertiary structure, the study of DNA structure in relation to several biological processes (protein binding, gene regulation, triplet repeat expansion diseases), and the analysis of gene expression data. Dr. Baldi's group is building a suite of genomics and proteomics programs for the prediction of protein structure and function and the analysis of microarray data.

Media

Watch on YouTube: NLDL2022 Tutorial: "Deep Learning in Biomdedical Imaging" by Pierre Baldi (UC, Irvine)Watch on YouTube: Pierre BaldiWatch on YouTube: NLDL2022 Keynote: "The Quarks of Attention" by Pierre Baldi (University of California, Irvine)Download image: Pierre Baldi

Education

California Institute of Technology

Ph.D., Mathematics

ENSTA Paris

M.S., Computer Science and Engineering, 1983

University of Paris VII

D.E.A., Mathematics, 1981

University of Paris VII

M.S., Mathematics, 1980

University of Paris X

M.S., Psychology, 1980

Accomplishments

  • Dennis Gabor Award of the International Neural Network Society
  • Fellow, Asia-Pacific Artificial Intelligence Association (AAIA)
  • Prominent Artificial Intelligence Journal Paper Award
  • Named Top 100 AI Leaders in Drug Discovery and Advanced Healthcare, Deep Knowledge Analytics

Affiliations

  • American Association for the Advancement of Science (AAAS)
  • Association for the Advancement of Artificial Intelligence (AAAI)
  • Institute of Electrical and Electronic Engineers (IEEE)
  • American Chemical Society (ACS)
  • Association for Computing Machinery (ACM)
  • International Society for Computational Biology (ISCB)

Research Grants

R01GM123558

NIH, 6/1/23-5/31/27

RP1 EB029751

NIH, 5/1/20-1/31/24

HL128801

NIH, 5/1/21-4/30/22

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