Rudy Morel
Assistant Professor of Data Science (Starting Fall 2027)
Incoming Center for Data Science faculty member who develops multiscale statistical models, such as wavelet scattering spectra, for physical fields and time series.
Rudy Morel's lab at NYU works on learning theory & optimization, data management & big data and time series, anomaly & spatio-temporal data. 5 papers since 2023, 5 at top venues, mostly NeurIPS and ICML. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 100%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 3
- 1 papers2024 · T1 1
- 1 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Data management & big data1 paper
- Time series, anomaly & spatio-temporal data1 paper
- center0 papers
- scattering0 papers
Paper list
From DBLP.
20253 papers
- NeurIPS (T1)AION-1: Omnimodal Foundation Model for Astronomical Sciences (opens in a new tab)
- ICML (T1)DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction (opens in a new tab)
- NeurIPS (T1)Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme (opens in a new tab)
20241 paper
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CNPeking
Yuqing Kong
- Learning theory & optimization
- USUCLA
Guy Van den Broeck
- Probabilistic & causal inference
- CNSJTU
Hongsheng Hu
- Trustworthy & safe ML
- USUC Berkeley
Nika Haghtalab
- Learning theory & optimization
- GBImperial
Stefan Vlaski
- Learning theory & optimization
- CNZhejiang
Zhongxin Liu
6 T1
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
NYUcloses