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Employment (2)

University of Pittsburgh School of Medicine: Pittsburgh, PA, US

2023-07-14 to present | Postdoctoral Associate (Computational and Systems Biology)
Employment
Source: Self-asserted source
Kai S. Shimagaki

University of California, Riverside: Riverside, California, US

2021-08-10 to 2024-06-30 | Postdoctoral researcher (Physics and Astronomy)
Employment
Source: Self-asserted source
Kai S. Shimagaki

Education and qualifications (2)

Sorbonne Université Campus Pierre et Marie Curie: Paris, Île-de-France, FR

2018-10-01 to 2021-06-30 | Ph.D. Fellow (Information Science)
Education
Source: Self-asserted source
Kai S. Shimagaki

Université Pierre et Marie Curie: Paris, Île-de-France, FR

2017-09-01 to 2018-06-30 | Research scholar (Erasmus Mundus scholarship) (Computational Science)
Education
Source: Self-asserted source
Kai S. Shimagaki

Funding (3)

Honjo International Foundation scholarships

2018-09 to 2021-06 | Grant
Honjo International Scholarship Foundation (Tokyo, JP)
URL: https://www.hisf.or.jp/en/scholarship/abroad/
Source: Self-asserted source
Kai S. Shimagaki

Erasmus Mundus scholarship

2017-09 to 2018-06 | Grant
Erasmus+ (Paris, FR)
Source: Self-asserted source
Kai S. Shimagaki

Repayment Exemption for Students with Excellent Grade (JASSO)

Award
Japan Student Services Organization (Tokyo, JP)
URL: https://www.jasso.go.jp/en/index.html
Source: Self-asserted source
Kai S. Shimagaki

Works (6)

popDMS infers mutation effects from deep mutational scanning data

Bioinformatics
2024-08-08 | Journal article
DOI: 10.1093/bioinformatics/btae499
Part of ISSN: 1367-4811
Contributors: Zhenchen Hong; Kai S Shimagaki; John P Barton
Source: Self-asserted source
Kai S. Shimagaki

Parallel HIV-1 fitness landscapes shape viral dynamics in humans and macaques that develop broadly neutralizing antibodies

2024-07-16 | Preprint
DOI: 10.1101/2024.07.12.603090
Contributors: Kai S. Shimagaki; Rebecca M. Lynch; John P. Barton
Source: check_circle
Crossref

Bézier interpolation improves the inference of dynamical models from data

Physical Review E
2023-02-13 | Journal article | Author
DOI: 10.1103/physreve.107.024116
Part of ISSN: 2470-0045
Part of ISSN: 2470-0053
Contributors: Kai S. Shimagaki; John Barton
Source: Self-asserted source
Kai S. Shimagaki

Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families

Physical Review E
2021-08-06 | Journal article
DOI: 10.1103/physreve.104.024407
Part of ISSN: 2470-0045
Part of ISSN: 2470-0053
Contributors: Pierre Barrat-Charlaix; ANNA PAOLA MUNTONI; Kai Shimagaki; Martin Weigt; Francesco Zamponi
Source: Self-asserted source
Kai S. Shimagaki

Selection of sequence motifs and generative Hopfield-Potts models for protein families

Physical Review E
2019-09-19 | Journal article
DOI: 10.1103/physreve.100.032128
Part of ISSN: 2470-0045
Part of ISSN: 2470-0053
Contributors: Kai Shimagaki; Martin Weigt
Source: Self-asserted source
Kai S. Shimagaki

Selection of sequence motifs and generative Hopfield-Potts models for protein families

2019-05-29 | Preprint
DOI: 10.1101/652784
Contributors: Kai Shimagaki; Martin Weigt
Source: Self-asserted source
Kai S. Shimagaki
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