I am a DPhil student in the Oxford Protein Informatics Group, University of Oxford developing machine learning methods for in silico antibody optimization and design. I am broadly interested in protein design, machine learning applications to biology, and biotech entrepreneurship.


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Visiting PhD Student

Harvard Medical School

Machine learning for antibody design

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DPhil in Statistics

University of Oxford

Machine learning for antibody design

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MPhil in Molecular Biology

MRC Laboratory of Molecular Biology, University of Cambridge, UK

Integrative computational analysis of GPCR-RAMP interactions

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MBiochem in Biochemistry

University of Oxford, UK

Awarded first class degree

Research & Publications

Primary research interests:

  • Structure-based protein design
  • Protein-protein interactions
  • Immunoinformatics
  • Machine learning
Antibody sequence to bits to structure

Current and past research projects:

Biotech Entrepreneurship

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Nucleate Oxford, Co-Managing Director

  • Leading the development of the Oxford chapter of Nucleate, an international student-run organization that facilitates the formation of pioneering life sciences companies
  • Have grown Oxford leadership team from 2 to >25 in 1 year
  • Key focus is supporting students/postdocs spin out their research into companies – Nucleate Activator
  • Additional focuses include planning events to bolster the Oxford biotech entrepreneurship community, as well as research to better understand the ecosystem

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Oxford University Biotech Society, President (2021-2022)

  • Led committee of 9 students in organising events promoting diversity and entrepreneurship in biotech
  • Organised events including "Careers in Biotech", "Women in Biotech" and "Diversity in Biotech" with speakers from various backgrounds
  • Ran 8-week biotech ideation programme (Catalyse Oxford) with team formation, mentorship and pitching events - led to the formation of 3+ startups between the 2021 and 2022 cohorts
  • Raised >£8,000 in sponsorship as well as 3-month lab space prize