Daniel M Faissol

基本信息

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职业迁徙

个人简介

Research Interests
Developing and applying operations research methodologies and tools such as applied probability, stochastic modeling, simulation, optimization, game theory, and statistical methods to problems in national security and health.

研究兴趣

论文共 39 篇作者统计合作学者相似作者

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Preemptive Optimization of a Clinical Antibody for Broad Neutralization of SARS-CoV-2 Variants and Robustness Against Viral Escape

Fangqiang Zhu,Saravanan Rajan, Conor F Hayes, Ka Yin Kwong, Andre R Goncalves, Adam T Zemla,Edmond Y Lau, Yi Zhang,Yingyun Cai, John W Goforth, Mikel Landajuela,Pavlo Gilchuk, Michael Kierny,Andrew Dippel, Bismark Amofah, Gilad Kaplan, Vanessa Cadevilla Peano,Christopher Morehouse, Ben Sparklin,Vancheswaran Gopalakrishnan, Kevin M Tuffy,Amy Nguyen,Jagadish Beloor, Gustavo Kijak,Chang Liu, Aiste Dijokaite-Guraliuc,Juthathip Mongkolsapaya, Gavin R Screaton, Brenden K Petersen, Thomas A Desautels, Drew Bennett,Simone Conti,Brent W Segelke, Kathryn T Arrildt, Samantha Kaul, Emilia A Grzesiak, Felipe Leno da Silva, Thomas W Bates, Christopher G Earnhart, Svetlana Hopkins, Shivshankar Sundaram,Mark T Esser,Joseph R Francica,Daniel M Faissol, LLNL Generative Unconstrained Intelligent Drug Engineering (GUIDE) consortium

Science advancesno. 13 (2025): eadu0718-eadu0718

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DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces