Brendan Frey
Professor
Develops machine learning algorithms for genome biology, such as models of RNA splicing.
Brendan Frey's lab at Toronto works on genomics & computational biology. 17 papers since 2023, 11 at top venues, mostly ICLR and NeurIPS. 7 PhD students. 30 alumni, most often to Amazon and Meta. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 65%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 30
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 2 · collecting
- 5 papers2025 · T1 3
- 4 papers2024 · T1 2
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, NeurIPS, AISTATS, Nature, Nature Methods
Research focuspaper titles that use each topic's words
- rna3 papers
- Genomics & computational biology0 papers
- genome0 papers
- learning algorithms0 papers
- biology0 papers
Paper list
From the lab homepage.
20263 papers
- Nature (T1)An X-linked long non-coding RNA, PTCHD1-AS, and the core features of autism (opens in a new tab)
- Frontiers in ImmunologyNeoTCRseek: an integrated platform for high-sensitivity identification of neoantigen-specific TCR clonotypes to track clinical T-cell dynamics (opens in a new tab)
- Nature Methods (T1)Orthrus: toward evolutionary and functional RNA foundation models (opens in a new tab)
20255 papers
- LMLRCurly Flow Matching for Learning Non-gradient Field Dynamics
- TMLR (T1)Investigating Generalization Behaviours of Generative Flow Networks (opens in a new tab)
- ICLR (T1)Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold (opens in a new tab)
- LMLRSimulation-Free Structure Learning For Stochastic Dynamics
- ICLR (T1)The Superposition of Diffusion Models Using the Itô Density Estimator (opens in a new tab)
20244 papers
- Neural Information Processing Systems (NeurIPS) AI for New Drug Modalities WorkshopDeepADAR: A deep learning approach to model regulatory elements of ADAR-based RNA editing and its application to gRNA design
- NeurIPS (T1)How molecules impact cells: Unlocking contrastive phenomolecular retrieval (opens in a new tab)
- AISTATS (T1)Simulation-free schrodinger bridges via score and flow matching. (opens in a new tab)
- International Conference on Learning Representations (ICLR) Workshop on Mathematical and Empirical Understanding of Foundation ModelsTransformers Can Achieve Length Generalization But Not Robustly (opens in a new tab)
20235 papers
- ICLR (T1)Distillspec: Improving speculative decoding via knowledge distillation (opens in a new tab)
- NeurIPS (T1)DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets (opens in a new tab)
- ICLR (T1)Identifying the risks of lm agents with an lm-emulated sandbox (opens in a new tab)
- ICLR (T1)Large Language Models Are Human-Level Prompt Engineers (opens in a new tab)
- International Conference on Learning Representations (ICML) Workshop on Data-centric Machine LearningTraining on Thin Air: Improve Image Classification with Generated Data (opens in a new tab)
Where alumni went30 listed, 75% to industry
Industry 21Academia 7
Most often to
- Amazon
- Meta
- Microsoft
Also to
- University of Toronto
- Stanford University
- UC Berkeley
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
Similar labsnearest by research summary
- USUC Berkeley
YoungJu Jo
- Neuroscience & brain-computer interfaces
- USMIT
Manolis Kellis
- Genomics & computational biology
- GBUCL
Laura Panagiotaki
- Medical imaging & healthcare AI
- GBOxford
Huiqi Yvonne Lu
- Medical imaging & healthcare AI
- CNTsinghua
Jin Gu
- Medical imaging & healthcare AI
- USCMU
Justin Chan
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Torontocloses