Adam Yala
Assistant Professor
Develops machine learning for precision medicine, such as cancer risk prediction from imaging.
Adam Yala's lab at UC Berkeley works on medical imaging & healthcare AI. 7 papers since 2023, 3 at top venues, mostly ICLR and ICCV. 7 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 43%
- PhD students
- 7
- MS students
- 0
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 4 papers2024 · T1 2
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, ICCV
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI0 papers
- precision0 papers
- computational precision0 papers
- precision medicine0 papers
- precision health0 papers
Paper list
From DBLP.
20253 papers
20244 papers
- BMC Medical ImagingAn open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study (opens in a new tab)
- ICLR (T1)Conformal Language Modeling (opens in a new tab)
- Trans. Mach. Learn. Res.LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models (opens in a new tab)
- ICLR (T1)LLM-grounded Video Diffusion Models (opens in a new tab)
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 alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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