Manish Kushwaha

Employment

• Micalis Institute Research Director (Directeur de recherche)
  2024 - Present
• Micalis Institute Research Scientist (Chargé de recherche)
  2017 - 2023
• University of Warwick Postdoctoral Research Fellow
  2015 - 2017
• Pennsylvania State University Postdoctoral Scholar
  2012 - 2014
• Imperial College London Visiting Researcher
  2010 - 2011

Education

• University of Oxford D.Phil.
  2006 - 2010
• Jawaharlal Nehru University M.Sc.
  2004 - 2006
• University of Delhi B.Sc. (Hons.)
  2001 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (26)

• Phage-mediated intercellular CRISPRi for biocomputation in bacterial consortia
  Nucleic Acids Research 2025 DOI: 10.1093/nar/gkae1256
  +Save
• Cell-free biosynthesis combined with deep learning accelerates de novo-development of antimicrobial peptides
  Nature Communications 2023 DOI: 10.1038/s41467-023-42434-9
  +Save
• The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering
  Nature Communications 2022 DOI: 10.1038/s41467-022-32661-x
  +Save
• PeroxiHUB: A Modular Cell-Free Biosensing Platform Using H2O2 as Signal Integrator
  ACS Synthetic Biology 2022 DOI: 10.1021/acssynbio.2c00138
  +Save
• Cell-Free Protein Synthesis from Exonuclease-Deficient Cellular Extracts Utilizing Linear DNA Templates
  Journal of Visualized Experiments 2022 DOI: 10.3791/64236
  +Save
• A synthetic communication system uncovers extracellular immunity that self-limits bacteriophage transmission
  2022 DOI: 10.1101/2022.05.11.491355
  +Save
• Toehold switch based biosensors for sensing the highly trafficked rosewood Dalbergia maritima
  Synthetic and Systems Biotechnology 2022 DOI: 10.1016/j.synbio.2022.03.003
  +Save
• Differentially Optimized Cell-Free Buffer Enables Robust Expression from Unprotected Linear DNA in Exonuclease-Deficient Extracts
  ACS Synthetic Biology 2022 DOI: 10.1021/acssynbio.1c00448
  +Save
• Cell-Free Biosensors and AI Integration
  Cell-Free Gene Expression 2022 DOI: 10.1007/978-1-0716-1998-8_19
  +Save
• Distributed computation with continual population growth
  Distributed Computing 2022 DOI: 10.1007/s00446-021-00404-8
  +Save