About Me

I am a PhD candidate at NYU Courant Institute of Mathematical Sciences, CILVR group, advised by Rajesh Ranganath and Thomas Wies, and a student researcher at Google DeepMind. I work on deep generative models and machine learning for health and science. I’m also a part of the STAT research group at the NYU Center for Data Science. Currently I organize the “generative model foundations” weekly meeting at Courant which brings together CS and math researchers to understand recent generative models together (PIs Eric Vanden-Eijnden, Joan Bruna, and Jon Niles-Weed).

I’ve started looking for postdoc positions + jobs for summer/fall 2025. Feel free to reach out about this!

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On my mind

discrete diffusion models!

News

talk @ IBM Research, December 2024.
talk @ Kempner Institute, November 2024.
talk @ Chi Jin’s group at Princeton, November 2024.
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities at NeurIPS 2024.
student researcher at Google DeepMind NYC with Will Grathwohl, June-Dec 2024!
Scalable Interpolant Transformers at ECCV 2024.
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions at ICML 2024.
Stochastic interpolants with data-dependent couplings. Spotlight at ICML 2024.
Probabilistic forecasting with stochastic interpolants and Föllmer processes at ICML 2024.
A dynamic risk score for early prediction of cardiogenic shock using machine learning at European Heart Jornal.
QTNet: Predicting Drug-Induced QT Prolongation with Artificial Intelligence-Enabled Electrocardiograms at JACC, Clinical Electrophysiology.
taking part @ Flatiron Institute’s second workshop on Measure Transport, Sampling, and Diffusions, Fall 2023!
talk @ Decisions, Risk and Operations ML reading group at Columbia, Fall 2023.
We are running the second iteration of the workshop on Spurious Correlations, Invariance, and Stability at ICML 2023.
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions at ICLR 2023.
talk at @ Flatiron Institute’s workshop on Sampling, Transport, and Diffusions, Fall 2022!
Co-organize the Workshop on Spurious Correlations, Invariance, and Stability at ICML 2022!
Survival Mixture Density Networks at MLHC 2022.
glad to continue at Apple Health AI for summer 2022!
Learning Invariant Representations with Missing Data at CLeaR 2022.
Inverse-Weighted Survival Games at NeurIPS 2021.
working with Apple’s Health AI team during summer 2021, supervised by Andy Miller and team!
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models at ICML 2021.
(Fall 2020) I qualified! Upgrade from Student to Candidate.
X-CAL: Explicit Calibration for Survival Analysis at NeurIPS 2020.
I’m working in Emtiyaz Khan’s Approximate Bayesian Inference group at RIKEN AIP in Tokyo for Summer 2019!

In a previous life

I was a research assistant and teaching fellow in the computer science department at Harvard SEAS. Previous to that, I studied music composition, improvisation, and theory at New England Conservatory with Anthony Coleman, Stratis Minakakis and Ran Blake. I am still involved with music and rehearse with Gamelan Kusuma Laras a classical Javanese ensemble that performs the repetoire of the courts of Central Java.

playlist

[nov 10, 2024] Nara Leao - Diz que fui por aí
[nov 10, 2024] Chihiro Yamanaka - Yes or No (Wayne Shorter)
[nov 10, 2024] Music for 18 Musicians, by Steve Reich
[nov 10, 2024] Gilberto Gil - “Expresso 2222” - Expresso 2222
[nov 10, 2024] Amagnon Koumagnon – Aya Obakiwe Lodo (from Benin)
[nov 10, 2024] Simon Shaheen - عود تقاسيم كرد 1996 oud Taqasim Kurd
[nov 10, 2024] Bach Sonatas & Partitas, performed on lute by Hopkinson Smith
[oct 26, 2024] Bill Evans - On Green Dolphin Street
[sept 7, 2024] Djoko Walujo - gender - Ldr. Pangkur sl. manyura
[sept 2, 2024] Zé Kéti - Poema de Botequim