About Me
Hi I am Hai ,
I am a PhD student π€ based in London . I have extensive data analysis experience both inside and outside of academia (6+ years). From sequencing pathogens π¦ and mutating worms to analysing babies π§ scans, I have always enjoyed the interdisciplinary environment and the process of challenging myself to new things. Outside of work, I enjoy lifting ποΈββοΈ, reading and listening to comedy podcasts.
PhD candidate, King's College London, UK
2020 β Oct 2023
Characterising abnormal brain development in babies using structural MRI and genetics data.
- Awarded a competitive scholarship to pursue doctoral research for 4 years.
- Implemented statistical models to complex imaging and genetic dataset to extract novel insights in the field of early life psychiatry.
- Regularly presented findings in weekly lab meetings and in international conferences.
- Expected to produce and defend a 200 - page thesis and author publications in high impact scientific journals.
Health Data Analyst and Policy Intern, UK Health Security Agency, UK
Feb 2022 β May 2022
- Part of the COVID-19 International Surveillance Team responsible for identifiying emergence of novel coronavirus strains.
- Proposed tools to enhance data acquistion from mutliple sources and novel data visualisation tecniques to improve data analysis process.
- Disseminated and presented findings in 2 policy reports to senior level teams.
Teaching Assistant & ML Instructor, King's College London, UK
Oct 2019 β Oct 2022
- Led weekly tutorials on basics of Python programming and neuroscience for over 100 bachelorβs and masterβs students every year.
- Independently devised and conducted monthly workshops on deep learning concepts and applications with minimal coding for over 30 students of non-technical background, resulting in 3-fold increase in workshop attendance the following year.
Research Assistant, King's College London and London School of Hygiene and Tropical Medicine, UK
2017 β 2019
- Designed projects and managed independently multiple experiments (PCR, gene-sequencing, microscopy) to assist work of 5 senior researchers.
- Self-taught and optimised data analysis pipelines in R and Python to automate existing lab protocols and reduce processing time by 90%.
- Co-authored 3 publications in scientific journals and awarded highest grades for 2 consecutive final year reports.