I am a DPhil student in the Oxford Protein Informatics Group, University of Oxford, where I am developing machine learning methods for in silico antibody design. I am broadly interested in molecular design, machine learning applications to biology, and biotech entrepreneurship.
Education
2020-2024
DPhil in Statistics
University of Oxford
Machine learning for antibody design
2023
Visiting PhD Student
Harvard Medical School
Machine learning for antibody design
2019-2020
MPhil in Molecular Biology
MRC Laboratory of Molecular Biology, University of Cambridge, UK
Integrative computational analysis of GPCR-RAMP interactions
Co-founded and co-led the Oxford chapter of Nucleate, an international student-run organization that facilitates the formation of pioneering life sciences companies
Grew Oxford leadership team from 2 to >20 in 1 year
Key focus on supporting students/postdocs to spin out their research into companies – Nucleate Activator
Additional focuses included planning events to bolster the Oxford biotech entrepreneurship community, as well as research to better understand the ecosystem
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