Camilo Ruiz

Joined

May 2022

Names

Camilo Ruiz (Preferred)

Emails

****@stanford.edu (Confirmed)

****@cs.stanford.edu (Confirmed)

****@cam.ac.uk

****@luva.ai (Confirmed)

****@alum.mit.edu

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Researcher

Luva AI (luva.ai)

2023 – 2025

PhD student

Stanford University (stanford.edu)

2017 – 2023

MS student

Computer Science Department, Stanford University (cs.stanford.edu)

2018 – 2022

MS student

University of Cambridge (cam.ac.uk)

2016 – 2017

Undergrad student

Massachusetts Institute of Technology (mit.edu)

2012 – 2016

Advisors, Relations & Conflicts

Coauthor

Kexin Huang

2021 – 2023

PhD Advisor

Jure Leskovec

2017 – 2023

Coauthor

Hongyu Ren

2017 – 2023

Coauthor

Marinka Zitnik

2017 – 2023

Expertise

Graph machine learning

Present

Knowledge graphs

2017 – Present

Computational biology

2017 – Present

Publications

Small-cohort GWAS discovery with AI over massive functional genomics knowledge graph
Camilo Ruiz, Kexin Huang, Tony Zeng, Soner Koc, Alexandra Pettet, Jingtian Zhou, Mika Sarkin Jain, Dongbo Sun, Hongyu Ren, Laurence Howe, Tom Richardson, Adrian Cortes, Katie Aiello, Kim Branson, Andreas Pfenning, Jesse Engreitz, Martin Jinye Zhang, Jure Leskovec
- OpenReview Archive Direct Upload
- Readers: Everyone
Molecular subclusters of follicular lymphoma: a report from the United Kingdom’s Haematological Malignancy Research Network
Simon Crouch, Daniel Painter, Sharon Barrons, Eve Roman, Philip Beer, Susanna Cooke, Paul Glover, Suzan Van Hoppe, Nichola Webster, Stuart Lacy, Camilo Ruiz, Peter Campbell, Daniel Hodson, Russell Patmore, Cathy Burton, Alexandra Smith, Reuben Tooze
- 17 May 2023 (modified: 17 May 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
A size-selective intracellular delivery platform
May Tun Saung, Armon Sharei, Viktor Adalsteinsson, Nahyun Cho, Tushar Kamath, Camilo Ruiz, Jesse Kirkpatrick, Nehal Patel, Mari Mino-Kenudson, Sarah Thayer, Robert Langer, Klavs Jensen, Andrew Liss, J Christopher Love
- 17 May 2023 (modified: 17 May 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
Targeted sequencing in DLBCL, molecular subtypes, and outcomes: a Haematological Malignancy Research Network report
Stuart Lacy, Sharon Barrans, Philip Beer, Daniel Painter, Alexandra Smith, Eve Roman, Susanna Cooke, Camilo Ruiz, Paul Glover, Suzan Van Hoppe, Nichola Webster, Peter Campbell, Reuben Tooze, Russell Patmore, Cathy Burton, Simon Crouch, Daniel Hodson
- 17 May 2023 (modified: 17 May 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
A longitudinal big data approach for precision health
Sophia Miryam Schussler-Fiorenza Rose, Kevin Contrepois, Kegan Moneghetti, Wenyu Zhou, Tejaswini Mishra, Samson Mataraso, Orit Dagan-Rosenfeld, Ariel Ganz, Jessilyn Dunn, Daniel Hornburg, Shannon Rego, Dalia Perelman, Sara Ahadi, M Reza Sailani, Yanjiao Zhou, Shana Leopold, Jieming Chen, Melanie Ashland, Jeffrey Christle, Monika Avina et al. (10 additional authors not shown)
- 17 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Identification of disease treatment mechanisms through the multiscale interactome
Camilo Ruiz, Marinka Zitnik, Jure Leskovec
- 17 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
High dimensional, tabular deep learning with an auxiliary knowledge graph
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
- NeurIPS 2023 poster
- Readers: Everyone
Tabular deep learning when $d \gg n$ by using an auxiliary knowledge graph
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- AI4Science Poster
- Readers: Everyone
Tabular Deep Learning when $d \gg n$ by Using an Auxiliary Knowledge Graph
Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone

Co-Authors

View all 69 co-authors