Data Fellows

The Fel­lows under­take research analy­ses on projects that will use data to under­stand and inform cur­rent health ser­vice challenges.
Data Fellows
Data Fel­lows (From left to right): Owen Church­es, Lan Kel­ly, Greer Humphrey and Lukah Dykes.

Owen Church­es

Owen com­plet­ed his PhD in neu­ro­science at the Uni­ver­si­ty of Cam­bridge and worked in the phar­ma­ceu­ti­cal indus­try and acad­e­mia before join­ing the pub­lic ser­vice in South Aus­tralia where he worked on child mor­tal­i­ty data. In 2019 he won a Churchill Fel­low­ship and returned to the Unit­ed King­dom to study sys­tems for eth­i­cal­ly and legal­ly using arti­fi­cial intel­li­gence in gov­ern­ment deci­sion making.

Lukah Dykes

Lukah is an ana­lyst and soft­ware engi­neer with an inspi­ra­tion for arti­fi­cial intel­li­gence and inte­grat­ed health sys­tems. He’s pas­sion­ate about cre­at­ing scal­able sys­tems with reac­tive microser­vices archi­tec­tures, actor-based con­cur­ren­cy, and real-time ana­lyt­ics. Lukah’s favourite tech­nolo­gies are the Scala and R pro­gram­ming lan­guages, the Akka actor toolk­it, the Lagom microser­vices frame­work, and the stream­ing libraries Kaf­ka and Akka Streams. His research has con­sid­ered real-time ana­lyt­ics in emer­gency care to sup­port med­ical deci­sion mak­ing for patients with poten­tial acute coro­nary syndrome.

Greer Humphrey

Greer has over 10 years of expe­ri­ence in sta­tis­ti­cal analy­sis and mod­el­ling in the fields of engi­neer­ing and health. She has an inter­est in devel­op­ing new skills and tech­niques for the trans­la­tion of com­plex data into inter­pretable output.

Lan Kel­ly

Lan is a bio­sta­tis­cian with over 10 years of expe­ri­ence work­ing in acad­e­mia and gov­ern­ment. Her inter­ests include pub­lic health, sta­tis­ti­cal method­ol­o­gy and epidemiology.