Carrying out data exploration and analysis to support research, genomics, clinical trials, service management and digital projects, with a rotation at Queens University Belfast School of Medicine.Projects includes: • Fine-mapping Alzheimer's Disease risk factors in the Human Leukocyte Antigen (HLA) complex (accessible via https://github.com/ohin6/MScCodeAccess)• Developed an optimised prognostic model for predicting Acute Myeloid Leukaemia (AML) for the Queens University Belfast School of Medicine research group• Created a software tool for developing an optimised survival analysis prognostic model (developed in R-shiny and accessible via https://ohin6.shinyapps.io/IWillSurvive/)• Developed automated software to assist in the interpretation of somatic variants from Acute Myeloid Leukaemia (AML) patients by implementing data mining approaches in Python to extract meaningful information across numerous genetic databases and bioinformatic tools • Project Managed the integration of Patient Led Booking (PLB) across the Liverpool Trust• Developed software to dynamically assess patient satisfaction with the Attend Anywhere platform to promote service improvement (demonstrative example excluding patient data can be accessed via https://ohin6.shinyapps.io/XMCH0001/)

My primary role as a Genetic Technologist was validating rare genetic diseases and cancers for the 100K Genome project. Significant workload related to the analysis and interpretation of genetic variants in accordance with the ACMG guidelines.I also conducted a diverse range of in-house diagnostic tests using NGS, Sanger sequencing, and fragment analysis techniques. This involved analysis, interpretation and timely reporting whilst maintaining strict quality control standards in line with ISO 15189.With the emergence of the pandemic, I was later seconded to the Queen’s Medical Centre Hospital where I specialised in COVID-19 testing.

A quantitative genetics-based PhD using QTL and fine mapping approaches, to investigate the genetic control of domestication-related traits in the common garden pea (Pisum sativum). I have identified and validated novel QTLs as well as providing greater mapping resolution to previously known genomic regions. I have also developed the second most detailed pea genetic linkage map, which provides a new and important genomic resource for future mapping studies, with its assembly validated by performing a detailed examination of synteny with well-characterized sequenced genomes

Research assistant at James Cook University Division of Tropical Health and Medicine

Onsite Environmental Scientist for a gold mining company in Western Australia