Philip Kim
Associate Professor
Builds machine learning and physics-based tools for peptide and protein design, including generative diffusion models.
Philip Kim's lab at Toronto works on proteins, drugs & materials, physics, climate & scientific computing and generative & foundation models. 6 papers since 2023. 5 PhD students. 24 alumni, most often to Google and VC backed AI stealth startup. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 0%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 24
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 6 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials1 paper
- Physics, climate & scientific computing1 paper
- Generative & foundation models1 paper
- peptide1 paper
- donnelly0 papers
Paper list
From the lab homepage.
20236 papers
- Nature Biotechnology JanA universal deep-learning model for zinc finger design enables transcription factor reprogramming
- Trends in Pharmaceutical Sciences Jan 18:S0165-6147(22)00279-6Computational and artificial intelligence-based methods for antibody development
- Nature Communications Apr 19;14(1):2150Disrupting the α-synuclein-ESCRT interaction with a peptide inhibitor mitigates neurodegeneration in preclinical models of Parkinson's disease
- Apr 12;19(4):e1011033Gate-based quantum computing for protein design
- Bioinformatics Jan 1;39(1):btad036HelixGAN a deep learning methodology for conditional de novo design of α-helix structures
- —News & Views (opens in a new tab)
Where alumni went24 listed, 100% to industry
Industry 4Academia 0
Most often to
- VC backed AI stealth startup
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
- CAToronto
Aleksandrina Goeva
- Genomics & computational biology
- GBOxford
Jean-Baptiste Lugagne
- Genomics & computational biology
- USUIUC
Ravi Iyer
- Medical imaging & healthcare AI
- USUMD
Can Firtina
- Genomics & computational biology
- GBUCL
Matthew Grech-Sollars
- Medical imaging & healthcare AI
- USNYU
Eran Halperin
- Genomics & computational biology
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