Joshua Meyers

Researcher, Synteny Biotechnology

Joined

October 2021

Names

Joshua Meyers (Preferred)

Emails

****@rocketmail.com (Confirmed)

****@benevolent.ai

****@synteny.ai (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Researcher

Synteny Biotechnology (synteny.ai)

2023 – Present

Researcher

BenevolentAI (benevolent.ai)

2017 – 2022

PhD student

Institute of Cancer Research (icr.ac.uk)

2013 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

chemoinformatics

Present

structural bioinformatics

Present

protein structure

Present

generative chemistry

Present

Publications

Training-Free Guidance with Applications to Protein Engineering
Lewis Cornwall, Joshua Meyers, James Day, Lilly S Wollman, Neil Dalchau, Aaron Sim
- AIDrugX Poster
- Readers: Everyone
Training-free guidance of diffusion models for generalised inpainting
Lewis Cornwall, Joshua Meyers, James Day, Lilly S Wollman, Neil Dalchau, Aaron Sim
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Molecular representation learning with language models and domain-relevant auxiliary tasks
Benedek Fabian, Helena Gaspar, Marwin Segler, Joshua Meyers, Mohamed Ahmed
- 11 Nov 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
De novo molecular design and generative models
Joshua Meyers, Benedek Fabian, Nathan Brown
- 11 Nov 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
DeeplyTough: Learning Structural Comparison of Protein Binding Sites
Martin Simonovsky, Joshua Meyers
- J. Chem. Inf. Model. 2020
- Readers: Everyone
Molecular representation learning with language models and domain-relevant auxiliary tasks
Benedek Fabian, Thomas Edlich, Héléna Gaspar, Marwin H. S. Segler, Joshua Meyers, Marco Fiscato, Mohamed Ahmed
- 2020 (modified: 27 Sept 2024)
- CoRR 2020
- Readers: Everyone
Mapping the 3D structures of small molecule binding sites
Joshua Meyers, Nathan Brown, Julian Blagg
- J. Cheminformatics 2016
- Readers: Everyone

Joshua Meyers

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Training-Free Guidance with Applications to Protein Engineering

Training-free guidance of diffusion models for generalised inpainting

Molecular representation learning with language models and domain-relevant auxiliary tasks

De novo molecular design and generative models

DeeplyTough: Learning Structural Comparison of Protein Binding Sites

Molecular representation learning with language models and domain-relevant auxiliary tasks

Mapping the 3D structures of small molecule binding sites

Co-Authors