Concepedia

Daniel Faissol

DF

Statistics

Publications

11

Citations

321

H-Index

10

Active since

2008

Affiliations

Lawrence Livermore National Laboratory(Current)

Georgia Institute of Technology

Lawrence Livermore National Security

Google (United States)

Daniel Faissol is an author at Lawrence Livermore National Laboratory specializing in reinforcement learning, antibody discovery, and antibody engineering.

ORCID

Publications per year

2008–2024

11

Publications

11

Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine

Brenden K. Petersen, Jiachen Yang, Will Grathwohl et al. · Journal of Computational Biology · 2019 · 63 citations · Full text

, , +15

Computationally restoring the potency of a clinical antibody against Omicron

Thomas Desautels, Kathryn T. Arrildt, Edmond Y. Lau et al. · Nature · 2024 · 49 citations · Full text

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Symbolic Regression via Neural-Guided Genetic Programming Population\n Seeding

T. Nathan Mundhenk, Mikel Landajuela, Ruben Glatt et al. · arXiv (Cornell University) · 2021 · 37 citations · Full text

, , +9

Large-scale application of free energy perturbation calculations for antibody design

Fangqiang Zhu, Feliza Bourguet, William F. Bennett et al. · Scientific Reports · 2022 · 31 citations · Full text

, , +17

Closing Bathhouses Unlikely to Decrease Number of Sex Acts and May Reduce Condom Use

Daniel Faissol, Paul M. Griffin, Julie Swann · JAIDS Journal of Acquired Immune Deficiency Syndromes · 2008 · 30 citations

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