Website review guadalupegonzalez.io
Guadalupe Gonzalez | PhD candidate | Imperial College London
Generated on January 31 2026 01:48 AM
Old data? UPDATE !
The score is 60/100
SEO Content
Title
Guadalupe Gonzalez | PhD candidate | Imperial College London
Length : 60
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Description
Fourth-year PhD candidate at Imperial College London in the Department of Computing, advised by Michael Bronstein and Kirill Veselkov. Currently visiting PhD student at Harvard Medical School. Guadalupe Gonzalez.
Length : 212
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Og Meta Properties
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| Property | Content |
|---|---|
| title | Guadalupe Gonzalez | PhD candidate | Imperial College London |
| description | Ph.D. candidate at ICL, visiting Ph.D. student at Harvard Medical School. Guadalupe Gonzalez. |
| image | https://static.wixstatic.com/media/8c7c8d_5a71590bbd6c44ed8305d8f831cb6fb8~mv2.jpg/v1/fill/w_2178,h_1032,al_c/8c7c8d_5a71590bbd6c44ed8305d8f831cb6fb8~mv2.jpg |
| image:width | 2178 |
| image:height | 1032 |
| url | https://www.guadalupegonzalez.io |
| site_name | Guadalupe Gonzalez |
| type | website |
Headings
| H1 | H2 | H3 | H4 | H5 | H6 |
| 3 | 33 | 0 | 0 | 0 | 2 |
- [H1] guadalupe gonzalez
- [H1] guadalupe gonzalez
- [H1] Senior ML Scientist II Prescient Design, Genentech
- [H2] selected publications
- [H2] On knowing a gene: A distributional hypothesis of gene function
- [H2] by Kwon, J. J., Pan, J., Gonzalez G., Hahn W. C., Zitnik M. In Cell Systems (2024)
- [H2]
- [H2] Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
- [H2] by Gonzalez G., Herath I., Veselkov K., Bronstein M., Zitnik M. In biorxiv (2024)
- [H2]
- [H2] Towards Training GNNs using Explanation Directed Message Passing
- [H2] by Giunchiglia V., Varun Shukla C., Gonzalez G., Agarwal, C. In Learning on Graphs Conference (2022)
- [H2]
- [H2] Network machine learning maps phytochemically rich “Hyperfoods” to fight COVID-19
- [H2] Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studies.
- [H2] Predicting anticancer hyperfoods with graph convolutional networks
- [H2] Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
- [H2] education
- [H2] 2021 - 2023
- [H2] Visiting PhD, Harvard Medical School, US
- [H2]
- [H2] 2018 - 2023
- [H2] 2017 - 2018
- [H2] 2013 - 2017
- [H2] teaching
- [H2]
- [H2] Fall term 2021
- [H2] Summer term 2021
- [H2] Spring term 2020
- [H2] Summer term 2019
- [H2] co-supervision master's projects
- [H2] 2021
- [H2] 2020
- [H2] outreach
- [H2] LOGML - co-organizer
- [H2] Imperial College London Women in Computing - co-president
- [H6] Imperial College London
- [H6] Non-profit organizations
Images
We found 1 images on this web page.
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Text/HTML Ratio
Ratio : 1%
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Flash
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Iframe
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SEO Links
URL Rewrite
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Underscores in the URLs
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In-page links
We found a total of 13 links including 2 link(s) to files
| Anchor | Type | Juice |
|---|---|---|
| GScholar | External | Passing Juice |
| External | Passing Juice | |
| On knowing a gene: A distributional hypothesis of gene function | External | Passing Juice |
| Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks | External | Passing Juice |
| Towards Training GNNs using Explanation Directed Message Passing | External | Passing Juice |
| Network machine learning maps phytochemically rich “Hyperfoods” to fight COVID-19 | External | Passing Juice |
| Phytochemically rich dietary components and the risk of colorectal cancer: A systematic review and meta-analysis of observational studies. | External | Passing Juice |
| Predicting anticancer hyperfoods with graph convolutional networks | External | Passing Juice |
| Graph Attentional Autoencoder for Anticancer Hyperfood Prediction | External | Passing Juice |
| In2Science | External | Passing Juice |
| CodeFirstGirls | External | Passing Juice |
| LOGML | External | Passing Juice |
| Imperial College London Women in Computing | External | Passing Juice |
SEO Keywords
Keywords Cloud
graph drug college machine london veselkov imperial gonzalez cancer learning
Keywords Consistency
| Keyword | Content | Title | Keywords | Description | Headings |
|---|---|---|---|---|---|
| learning | 12 |  |
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| gonzalez | 10 | |
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| london | 7 | |
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| veselkov | 7 | |
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| cancer | 6 | |
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Usability
Url
Domain : guadalupegonzalez.io
Length : 20
Favicon
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Printability
We could not find a Print-Friendly CSS.
Language
Good. Your declared language is en.
Dublin Core
This page does not take advantage of Dublin Core.
Document
Doctype
HTML 5
Encoding
Perfect. Your declared charset is UTF-8.
W3C Validity
Errors : 0
Warnings : 0
Email Privacy
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Deprecated HTML
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Speed Tips
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Excellent, your website doesn't use nested tables. |
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Too bad, your website is using inline styles. |
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Great, your website has few CSS files. |
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Too bad, your website has too many JS files (more than 6). |
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Perfect, your website takes advantage of gzip. |
Mobile
Mobile Optimization
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Apple Icon |
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Meta Viewport Tag |
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Flash content |
Optimization
XML Sitemap
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| https://www.guadalupegonzalez.io/sitemap.xml |
Robots.txt
https://guadalupegonzalez.io/robots.txt
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Analytics
Missing
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PageSpeed Insights
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