Nathaniel Lee Diamant

PhD student, CS, Stanford University

Joined

September 2022

Names

Nathaniel Lee Diamant (Preferred)

Nathaniel Diamant

Nathaniel L. Diamant

Emails

****@gene.com (Confirmed)

****@nathanieldiamant.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

CS, Stanford University (stanford.edu)

2024 – Present

Researcher

BRAID, Genentech (gene.com)

2022 – 2025

Researcher

ML4H, Broad Institute (broadinstitute.org)

2019 – 2022

Undergrad student

CS + Math, Harvey Mudd College (hmc.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Brian L. Trippe

2024 – Present

PhD Advisor

Anshul Kundaje

2024 – Present

Expertise

discrete diffusion

Present

Publications

GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion
Alex M Tseng, Nathaniel Lee Diamant, Tommaso Biancalani, Gabriele Scalia
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Improving Graph Generation by Restricting Graph Bandwidth
Nathaniel Lee Diamant, Alex M Tseng, Kangway V Chuang, Tommaso Biancalani, Gabriele Scalia
- Published: 06 Mar 2023, Last Modified: 15 Feb 2026
- ICLR 2023 - MLDD Poster
- Readers: Everyone
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion
Alex M Tseng, Nathaniel Lee Diamant, Tommaso Biancalani, Gabriele Scalia
- Published: 06 Mar 2023, Last Modified: 15 Feb 2026
- ICLR 2023 - MLDD Poster
- Readers: Everyone
GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion
Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia
- 2023 (modified: 14 Apr 2023)
- CoRR 2023
- Readers: Everyone
Improving Graph Generation by Restricting Graph Bandwidth
Nathaniel Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia
- 2023 (modified: 14 Apr 2023)
- CoRR 2023
- Readers: Everyone
Deep Fitness Inference for Drug Discovery with Directed Evolution
Nathaniel Lee Diamant, Ziqing Lu, Christina Helmling, Kangway V Chuang, Christian Cunningham, Tommaso Biancalani, Gabriele Scalia, Max W Shen
- 09 Oct 2022 (modified: 05 May 2023)
- LMRL 2022 Paper
- Readers: Everyone
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
Austin Atsango, Nathaniel Lee Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V Chuang
- Published: 21 Oct 2022, Last Modified: 08 Feb 2026
- AI4Science Poster
- Readers: Everyone
STab: Self-supervised Learning for Tabular Data
Ehsan Hajiramezanali, Nathaniel Lee Diamant, Gabriele Scalia, Max W Shen
- Published: 21 Oct 2022, Last Modified: 16 May 2023
- TRL @ NeurIPS 2022 Poster
- Readers: Everyone
Conditional Diffusion with Less Explicit Guidance via Model Predictive Control
Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas
- 2022 (modified: 14 Apr 2023)
- CoRR 2022
- Readers: Everyone
Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron Aguirre, Collin M. Stultz, Puneet Batra
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- PLoS Comput. Biol. 2022
- Readers: Everyone

View all 14 publications

Co-Authors

View all 50 co-authors