Lukah Dykes

  • 9 Citations
  • 2 h-Index
20162019
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Personal profile

Public Profile

I am an analyst, computer scientist, and software engineer with a primary research focus in artificial intelligence and integrated health systems. My current research explores scalable systems infrastructure to support clinical care and research through the operationalisation of healthcare data and information. Our team at Health Systems Research following the direction of Professor Derek Chew has been successful in conducting cardiovascular clinical trials at a national scale and generating novel clinical research. Our approach to service implementation of these methods is to utilise best practices in both analytics and computational systems architecture. We hope to develop ourselves as core service providers and foster relationships with the healthcare system, academia, industry, and the greater community.

Research Interests

My research interests include:

- Computational systems architecture: Lagom, OpenShift, OpenStack, Docker, Kubernetes, microservices architecture, reactive systems, actor-based systems, synchronous and asynchronous messaging, distributed systems.

- Data architecture:  Cassandra, MongoDB, Hadoop, Spark, Kafka, Akka Streams, database architecture, data transformation, data streaming, data redundancy and security, database replication and sharding methods.

- Software engineering and operations: Scala, Java, C++, C, Fedora, Akka, Vim, IntelliJ IDEA, Git, LaTeX, Overleaf, functional programming, declarative programming, statically typed languages.

- Application design: Play Framework, Scala.js, Node.js.

- Artificial intelligence systems: Causal probabilistic networks, generative models, learning theory, natural language processing, computational linguistics, deep learning, reinforcement learning.

- Statistical methodology: R, Stan, causal inference, decision theory, multilevel analysis, survival analysis, longitudinal analysis, missing data methods, spline methods, kernel methods, experiment design.

- Data science: Model creation and assessment, supervised and unsupervised learning, discriminative models, model validation and regularisation, model performance methods, data visualisation and reporting, tidyverse, ggplot2, knitr.

Our team is enthusiastic about applying these and supporting techniques in a clinical and research context. Our current goal is to trial a decision support system at the clinical point of care for patients with potential acute coronary syndrome.

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Research Output 2016 2019

  • 9 Citations
  • 2 h-Index
  • 2 Article
  • 1 Review article

Preventive chemotherapy reverses covert, lymphatic-associated tissue change in young people with lymphatic filariasis in Myanmar

Douglass, J., Dykes, L., Kelly-Hope, L., Gordon, S., Leggat, P., Aye, N. N., Win, S. S., Wai, T., Win, Y. Y., Nwe, T. W. & Graves, P., 1 Apr 2019, In : Tropical Medicine and International Health. 24, 4, p. 463-476 14 p.

Research output: Contribution to journalArticle

5 Citations (Scopus)

Information theory and Atrial Fibrillation (AF): A review

Dharmaprani, D., Dykes, L., McGavigan, A. D., Kuklik, P., Pope, K. & Ganesan, A. N., 18 Jul 2018, In : Frontiers in Physiology. 9, JUL, 957.

Research output: Contribution to journalReview article

4 Citations (Scopus)

IgV peptide mapping of native Ro60 autoantibody proteomes in primary Sjögren's syndrome reveals molecular markers of Ro/La diversification

Wang, J. J., Al Kindi, M. A., Colella, A. D., Dykes, L., Jackson, M. W., Chataway, T. K., Reed, J. H. & Gordon, T. P., 1 Dec 2016, In : Clinical Immunology. 173, p. 57-63 7 p.

Research output: Contribution to journalArticle