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Charalampos Triantafyllidis
PeerJ Author
270 Points

Contributions by role

Author 270

Contributions by subject area

Optimization Theory and Computation
Scientific Computing and Simulation
Programming Languages
Software Engineering
Algorithms and Analysis of Algorithms

Charalampos P. Triantafyllidis

PeerJ Author

Summary

My research interests reside in the development and application of novel machine learning algorithms to health data and ensuring their utility and impact. I am particularly interested in cancer, asthma and sickle cell disease. My research involves the use of a multitude of the latest omics data available (genomics, transcriptomics, metabolomics) and clinical data collected by hospitals/clinical trials.

I obtained my PhD in computational optimisation (Operations Research) in 2014 in Greece, co-advised by the Massachusetts Institute of Technology (Prof. John N. Tsitsiklis). Following, I have been an MRC Early Career Research Fellow with the School of Public Health at Imperial (2021-2022), and a post-doctoral research associate also at University College London (2016-2018) and University of Oxford (2018-2021).

Optimization Theory & Computation Programming Languages Scientific Computing & Simulation Software Engineering

Past or current institution affiliations

Goldsmiths College, University of London
University College London
University of Oxford

Work details

Assistant Professor

Goldsmiths College, University of London
April 2019
Computing

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
March 30, 2020
A new non-monotonic infeasible simplex-type algorithm for Linear Programming
Charalampos P. Triantafyllidis, Nikolaos Samaras
https://doi.org/10.7717/peerj-cs.265
September 10, 2018
An integrated platform for intuitive mathematical programming modeling using LaTeX
Charalampos P. Triantafyllidis, Lazaros G. Papageorgiou
https://doi.org/10.7717/peerj-cs.161