Daniel R. Wong

Employment

• Pfizer Machine Learning Scientist
  2022 - Present
• UCSF Graduate Student
  2017 - Present

Education

• UCSF PhD
  2017 - Present
• UC Berkeley B.A. Computer Science; B.A. Molecular and Cellular Biology
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Phenotypic reversion and target prioritization for cellular inflammation via representation learning with foundation models
  2026 DOI: 10.64898/2026.03.04.709607
  +Save
• Phenotypic reversion and target prioritization for cellular inflammation via representation learning with foundation models
  Digital Discovery 2026 DOI: 10.1039/D6DD00287K
  +Save
• Simple controls exceed best deep learning algorithms and reveal foundation model effectiveness for predicting genetic perturbations
  Bioinformatics 2025 DOI: 10.1093/bioinformatics/btaf317
  +Save
• Simple controls exceed best deep learning algorithms and reveal foundation model effectiveness for predicting genetic perturbations
  2025 DOI: 10.1101/2025.01.06.631555
  +Save
• Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels
  Communications Biology 2023 DOI: 10.1038/s42003-023-05031-6
  +Save
• Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels
  2023 DOI: 10.1101/2023.01.13.524019
  +Save
• Deep representation learning determines drug mechanism of action from cell painting images
  Digital Discovery 2023 DOI: 10.1039/D3DD00060E
  +Save
• Deep learning from multiple experts improves identification of amyloid neuropathologies
  Acta Neuropathologica Communications 2022 DOI: 10.1186/s40478-022-01365-0
  +Save
• Deep Representation Learning Determines Drug Mechanism of Action from Cell Painting Images
  2022 DOI: 10.1101/2022.11.15.516561
  +Save
• Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics
  Nature Machine Intelligence 2022 DOI: 10.1038/s42256-022-00490-8
  +Save
• Deep learning from multiple experts improves identification of amyloid neuropathologies
  2021 DOI: 10.1101/2021.03.12.435050
  +Save
• Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics
  2021 DOI: 10.1101/2021.01.08.425973
  +Save
• Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding
  ACS Chemical Biology 2020 DOI: 10.1021/acschembio.0c00339
  +Save
• Prototype of running clinical trials in an untrustworthy environment using blockchain
  Nature Communications 2019 DOI: 10.1038/s41467-019-08874-y
  +Save