Mohamad Moosavi
Assistant Professor
Leads the AI4ChemS group, using geometric deep learning to discover porous materials such as MOFs.
Mohamad Moosavi's lab at Toronto works on proteins, drugs & materials, graph learning and geometry processing & modeling. Applications close .
At a glance
- papers, 2023–2026
- —
- at T1 venues
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- PhD students
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- MS students
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- alumni listed
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Papers by year2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Paper list
No papers from 2023–2026 are listed for this lab.
Where alumni went
Alumni are not listed on the lab homepage.
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.
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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.
- No publication list could be matched on the lab site or in DBLP.
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