Concepedia

Samuel Goldman

SG

Statistics

Publications

11

Citations

554

H-Index

11

Active since

2021

Affiliations

Massachusetts Institute of Technology(Current)

Microsoft Research New England (United States)

Microsoft (United States)

Broad Institute

Samuel Goldman is an author at Massachusetts Institute of Technology specializing in engineering, computational biology, and medicine.

Top concepts

EngineeringComputational BiologyMedicineSystems BiologyMachine LearningBioinformaticsMolecular BiologyDeep LearningBiophysicsBiochemistry

Publications per year

2021–2024

11

Publications

11

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery

Ava P. Soleimany, Alexander Amini, Samuel Goldman et al. · ACS Central Science · 2021 · 191 citations · Full text

Geometric Learning, Engineering, Machine Learning +16

Machine learning modeling of family wide enzyme-substrate specificity screens

Samuel Goldman, Ria Das, Kevin Yang et al. · PLoS Computational Biology · 2022 · 104 citations · Full text

Residue Representations, Machine Learning, Engineering +17

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

Aik Rui Tan, Shingo Urata, Samuel Goldman et al. · npj Computational Materials · 2023 · 69 citations · Full text

Annotating metabolite mass spectra with domain-inspired chemical formula transformers

Samuel Goldman, Jeremy Wohlwend, Martin Stražar et al. · Nature Machine Intelligence · 2023 · 60 citations

Biochemistry, Natural Sciences, Bioanalysis +10

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks

Samuel Goldman, Janet Li, Connor W. Coley · Analytical Chemistry · 2024 · 36 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

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