Maxwell L. Bileschi

Google (United States) — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

11h-index4.3kcitations23works29.42yr avg
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Research Topics

Machine Learning in Bioinformatics(13), Genomics and Phylogenetic Studies(7), Protein Structure and Dynamics(4), Advanced Proteomics Techniques and Applications(4), Bioinformatics and Genomic Networks(3)

Publications23 total

OkazakiLab/af3_mmm: Initial formal release
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
OkazakiLab/af3_mmm: Initial formal release
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
The Pfam protein families database: embracing AI/ML
Nucleic Acids Research·2024· 178 citedOpen Access
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
arXiv (Cornell University)·2024· 2 citedOpen Access
ProtEx: A Retrieval-Augmented Approach for Protein Function Prediction
2024· 7 citedOpen Access
Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
arXiv (Cornell University)·2024· 17 citedOpen Access
Investigation of protein family relationships with deep learning
Bioinformatics Advances·2024· 2 citedOpen Access
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
arXiv (Cornell University)·2023· 6 citedOpen Access
Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?
arXiv (Cornell University)·2023Open Access
ProteInfer, deep neural networks for protein functional inference
eLife·2023· 166 citedOpen Access
Author response: ProteInfer, deep neural networks for protein functional inference
2023Open Access
MGnify: the microbiome sequence data analysis resource in 2023
Nucleic Acids Research·2022· 400 citedOpen Access
InterPro in 2022
Nucleic Acids Research·2022· 2.5k citedOpen Access
Using deep learning to annotate the protein universe
Nature Biotechnology·2022· 297 cited
ProteInfer: deep networks for protein functional inference
2021· 28 citedOpen Access
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights
2021· 11 citedOpen Access
Critiquing Protein Family Classification Models Using Sufficient Input Subsets
Journal of Computational Biology·2019· 9 cited
Critiquing Protein Family Classification Models Using Sufficient Input Subsets
2019· 4 citedOpen Access
Using Deep Learning to Annotate the Protein Universe
2019· 81 citedOpen Access
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
Genome Research·2018· 539 citedOpen Access
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Frequent Co-authors

Lucy J. Colwell(13), Theo Sanderson(7), David Belanger(6), David Belanger(5), Alex Bateman(4), Jasper Snoek(4), Drew Bryant(4), Brandon Carter(4), Laura Culp(4), Kelvin Xu(3), Aaron Parisi(3), Alex Rizkowsky(3), Azade Nova(3), Ben Adlam(3), Bernd Bohnet(3), Hanie Sedghi(3), Igor Mordatch(3), Isabelle Simpson(3), İzzeddin Gür(3), Jeffrey Pennington(3)