Jennifer Listgarten
Professor
Develops machine learning methods for protein engineering and computational biology.
Jennifer Listgarten's lab at UC Berkeley works on proteins, drugs & materials and genomics & computational biology. 15 papers since 2023, 4 at top venues, mostly Science and Bioinformatics. 6 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 27%
- PhD students
- 6
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 3 · collecting
- 2 papers2025 · T1 1
- 6 papers2024 · T1 0
- 3 papers2023 · T1 0
T1 venuesOtherVenues: Science, Bioinformatics, ICLR, ICML
Research focuspaper titles that use each topic's words
- Proteins, drugs & materials5 papers
- protein5 papers
- Genomics & computational biology1 paper
- protein engineering1 paper
- computational biology0 papers
Paper list
From the lab homepage.
20264 papers
- Science (T1)How Artificial Intelligence is re-engineering protein engineering (opens in a new tab)
- ICML (T1)Leveraging Discrete Function Decomposability for Scientific Design (opens in a new tab)
- Nature BiotechnologyProperty guidance for protein sequence generative models with ProteinGuide (opens in a new tab)
- Science (T1)Structural ontogeny of protein-protein interactions (opens in a new tab)
20252 papers
20246 papers
- Trends in Biochemical SciencesComputationally guided AAV engineering for enhanced gene delivery (opens in a new tab)
- Open BiologyEffective training of nanopore callers for epigenetic marks with limited labelled data (opens in a new tab)
- Nature BiotechnologyGenerative models for protein structures and sequences (opens in a new tab)
- BioinformaticsGENTANGLE: integrated computational design of gene entanglements (opens in a new tab)
- Science AdvancesOptimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy (opens in a new tab)
- Nature BiotechnologyThe perpetual motion machine of AI-generated data and the distraction of "ChatGPT as scientist" (opens in a new tab)
20233 papers
- ACS Synth. Biol.Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property Prediction (opens in a new tab)
- Cold Spring Harbor Perspectives in BiologyIs novelty predictable? (opens in a new tab)
- Genome ResearchMBE: model-based enrichment estimation and prediction for differential sequencing data (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
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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