Ahmed Alaa
Assistant Professor
Builds multimodal deep learning and causal inference methods for predicting patient outcomes and personalizing treatment.
Ahmed Alaa's lab at UC Berkeley works on medical imaging & healthcare AI, vision-language & multimodal and efficient training & inference. 3 papers since 2023. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 0%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 2 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI2 papers
- Vision-language & multimodal1 paper
- Efficient training & inference1 paper
- treatment0 papers
- inference methods0 papers
Paper list
From the lab homepage.
20261 paper
- Journal ArticleMachine learning–driven spleen imaging and genomics uncover a splenic connection to coronary artery disease
20242 papers
- Journal ArticleArtificial Intelligence–Based Copilots to Generate Causal Evidence
- Journal ArticleLarge Language Models as Co-Pilots for Causal Inference in Medical Studies
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Your notes
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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.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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