Jean-Baptiste Lugagne
Associate Professor
Builds cell-machine interfaces that use deep learning and deep model predictive control to steer gene expression in single cells.
Jean-Baptiste Lugagne's lab at Oxford works on genomics & computational biology, planning, control & multi-robot systems and interfaces & interaction techniques. 6 papers since 2023, 2 at top venues, mostly CDC and Nature Communications. 8 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 33%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 0
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 1 papers2024 · T1 1
- 2 papers2023 · T1 0
T1 venuesOtherVenues: CDC, Nature Communications, Nature Methods
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems2 papers
- Genomics & computational biology1 paper
- model predictive1 paper
- predictive control1 paper
- Interfaces & interaction techniques0 papers
Paper list
From the lab homepage.
20262 papers
20251 paper
20241 paper
- Nature Communications (T1)Deep model predictive control of gene expression in thousands of single cells (opens in a new tab)
20232 papers
- ACS Synthetic BiologyDeep neural networks for predicting single cell responses and probability landscapes (opens in a new tab)
- Advanced ScienceLongitudinal single-cell imaging of engineered strains with stimulated Raman scattering to characterize heterogeneity in fatty acid production (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January 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
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- Lab homepage
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