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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
117
Citations
58379
World Ranking
166
National Ranking
97

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2012 - IEEE Fellow For contributions to machine learning and its applications in the life sciences
  • 2012 - ACM Fellow For contributions to artificial intelligence and statistical machine learning for bioinformatics.
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Pierre Baldi is affiliated with the University of California, Irvine in the United States. Their primary field of study is Physics and Astronomy, with a pronounced focus on Nuclear and High Energy Physics. In addition to this, Baldi's research spans Artificial Intelligence, Molecular Biology, Physiology, and Astronomy and Astrophysics.

The scientist's work covers a range of main research topics, including:

  • Neutrino Physics Research
  • Astrophysics and Cosmic Phenomena
  • Particle physics theoretical and experimental studies
  • Dark Matter and Cosmic Phenomena
  • Circadian rhythm and melatonin
  • Particle Detector Development and Performance
  • Machine Learning in Materials Science

Baldi has published extensively, with recent papers including the following:

  • "Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems," 2021, Physical Review Letters
  • "Long-baseline neutrino oscillation physics potential of the DUNE experiment," 2020, Jyväskylä University Digital Archive (University of Jyväskylä)
  • "Atlas of exercise metabolism reveals time-dependent signatures of metabolic homeostasis," 2022, Cell Metabolism
  • "Improved measurement of neutrino oscillation parameters by the NOvA experiment," 2022, Physical review. D/Physical review. D.
  • "Supernova neutrino burst detection with the deep underground neutrino experiment," 2020, Lancaster EPrints (Lancaster University)

Frequent co-authors collaborating with Baldi include:

  • H.O. Back
  • M. A. Acero
  • A. Aurisano
  • Bindu A. Bambah
  • G. Adamov

Baldi publishes often in the following venues:

  • arXiv (Cornell University)
  • Physical review. D/Physical review. D.
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Instrumentation
  • Proceedings of 37th International Cosmic Ray Conference - PoS(ICRC2021)

The scientist has also contributed to book publications, with one notable example from Cambridge University Press titled "Deep Learning in Science," published in 2021.

Among several recognitions, Baldi has been awarded:

  • IEEE Fellow in 2012 for contributions to machine learning and its applications in the life sciences
  • ACM Fellow in 2012 for contributions to artificial intelligence and statistical machine learning for bioinformatics
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2008

Best Publications

  • Assessing the accuracy of prediction algorithms for classification: an overview

    Pierre Baldi;Søren Brunak;Yves Chauvin;Claus A. F. Andersen

  • A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.

    Pierre Baldi;Anthony D. Long

  • Bayesian surprise attracts human attention.

    Laurent Itti;Pierre Baldi

  • Bioinformatics: The Machine Learning Approach

    Pierre Baldi;Søren Brunak

  • Neural networks and principal component analysis: learning from examples without local minima

    P. Baldi;K. Hornik

  • Autoencoders, Unsupervised Learning, and Deep Architectures

    Pierre Baldi

  • Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning

    Siyu Shao;Stephen McAleer;Ruqiang Yan;Pierre Baldi

  • Searching for exotic particles in high-energy physics with deep learning

    Pierre Baldi;Peter Sadowski;Daniel Whiteson

  • Prediction of protein stability changes for single-site mutations using support vector machines.

    Jianlin Cheng;Arlo Randall;Pierre Baldi

  • SCRATCH: a protein structure and structural feature prediction server

    Jianlin Cheng;Arlo Z. Randall;Michael J. Sweredoski;Pierre Baldi

  • Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

    Gianluca Pollastri;Darisz Przybylski;Burkhard Rost;Pierre Baldi

  • Reprogramming of the circadian clock by nutritional challenge.

    Kristin L. Eckel-Mahan;Vishal R. Patel;Sara de Mateo;Ricardo Orozco-Solis

  • Hidden Markov models of biological primary sequence information

    Pierre Baldi;Yves Chauvin;Tim Hunkapiller;Marcella A. McClure

  • Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.

    Gregor Urban;Priyam Tripathi;Talal Alkayali;Mohit Mittal

  • Exploiting the past and the future in protein secondary structure prediction.

    Pierre Baldi;Søren Brunak;Paolo Frasconi;Giovanni Soda

  • SOLpro: accurate sequence-based prediction of protein solubility

    Christophe N. Magnan;Arlo Z. Randall;Pierre Baldi

  • DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling

    Pierre Baldi;G. Wesley Hatfield

  • 2005 Speical Issue: Graph kernels for chemical informatics

    Liva Ralaivola;Sanjay J. Swamidass;Hiroto Saigo;Pierre Baldi

  • Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

    Alessandro Lusci;Gianluca Pollastri;Pierre Baldi

  • Understanding Dropout

    Pierre Baldi;Peter J Sadowski

  • Improved residue contact prediction using support vector machines and a large feature set

    Jianlin Cheng;Pierre Baldi

  • CircadiOmics: integrating circadian genomics, transcriptomics, proteomics and metabolomics

    Vishal R Patel;Kristin Eckel-Mahan;Paolo Sassone-Corsi;Pierre Baldi

Frequent Co-Authors

Søren Brunak
Søren Brunak University of Copenhagen
Paolo Sassone-Corsi
Paolo Sassone-Corsi University of California, Irvine
Cristina V. Lopes
Cristina V. Lopes University of California, Irvine
Gianluca Pollastri
Gianluca Pollastri University College Dublin
Philip L. Felgner
Philip L. Felgner University of California, Irvine
Maury Goodman
Maury Goodman Argonne National Laboratory
N. J. Buchanan
N. J. Buchanan Colorado State University
Paolo Frasconi
Paolo Frasconi University of Florence
Jianlin Cheng
Jianlin Cheng University of Missouri
Raja Jurdak
Raja Jurdak Queensland University of Technology

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