Tiffany Amariuta
Assistant Professor
Develops machine learning methods for statistical genetics, predicting regulatory variant function and disease-relevant cell types.
Tiffany Amariuta's lab at UCSD works on medical imaging & healthcare AI, genomics & computational biology and learning theory & optimization. 2 papers since 2023. 6 PhD students. 28 alumni, most often to Bioinformatics and Systems Biology Ph.D. Student. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 28
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 1 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Genomics & computational biology1 paper
- Learning theory & optimization1 paper
- Medical imaging & healthcare AI0 papers
- regulatory0 papers
- genetics0 papers
Paper list
From the lab homepage.
20231 paper
Where alumni went28 listed, 26% to industry
Industry 7Academia 20
Most often to
- Bioinformatics and Systems Biology Ph.D. Student
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
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