Aleksandrina Goeva
Assistant Professor
Develops machine learning and statistical methods for single-cell and spatial genomics.
Aleksandrina Goeva's lab at Toronto works on genomics & computational biology, proteins, drugs & materials and learning theory & optimization. 5 papers since 2023. 8 alumni. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 2 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Genomics & computational biology1 paper
- Learning theory & optimization1 paper
- Proteins, drugs & materials0 papers
- donnelly0 papers
- donnelly centre0 papers
Paper list
From the lab homepage.
20251 paper
- Goeva, ACells Keep Diverse Company in Diseased Tissues
20242 papers
- Goeva, AHiDDEN: a machine learning method for detection of disease-relevant populations in case-control single-cell transcriptomics data
- 151Yang, A., Chidiac, R., Russo, E., Steenland, H., Pauli, Q., Bonin, R., Blazer, L.L., Adams, J.J., Sidhu, S.S., Goeva, A., et al
20232 papers
- 42Adler, M., Moriel, N., Goeva, A., Avraham-Davidi, I., Mages, S., Adams, T.S., Kaminski, N., Macosko, E.Z., Regev, A., Medzhitov, R., et al
- Goeva, AExposure of iPSC-derived human microglia to brain substrates enables the generation and manipulation of diverse transcriptional states in vitro
Where alumni went8 listed
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
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- The member list could not be found on the lab site.
- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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