Sr Machine Learning Engineer and Statistician
Good Day!
My name is Marianne Lyne Manaog and I am seasoned Machine Learning Engineer and Statistician with 8+ years of experience in both research and industry in these fields. Contact me for any opportunities related to Machine Learning (including Deep Learning), Python, Matlab, Statistics (including SPSS), scientific and medical research (including systematic reviews and meta-analyses with REVMAN), and I will be happy to discuss further with you!
I have published some of my research outputs in three of the world's most highly ranked peer-reviewed journals, such as Knowledge-Based Systems (IF=5.1), Neural Computing and Applications (IF=4.7) and Expert Systems with Applications (IF=4.3).
For samples of my high-quality outputs, have a look at my three main full-length peer-reviewed papers and a keynote presentation at the following:
- paper entitled 'Decision support system to improve postoperative discharge: A novel multi-class classification approach' published on Knowledge-Based Systems: https://www.sciencedirect.com/science/article/abs/pii/S0950705118301655;
- paper entitled 'A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis' published on Neural Computing and Applications: https://link.springer.com/article/10.1007/s00521-019-04050-x;
- paper entitled 'Feature-driven machine learning to improve early diagnosis of Parkinson's disease' published on Expert Systems with Applications (26 citations in 1.5 years): https://www.sciencedirect.com/science/article/abs/pii/S095741741830349X;
- keynote presentation entitled 'A Minimum Viable Machine Learning-based Speech Processing Solution for Facilitating Early Diagnosis of Parkinson's Disease' at the MATLAB Conference 2017 in Auckland, New Zealand: https://mathworks.com/content/dam/mathworks/mathworks-dot-com/solutions/aerospace-defense/files/2017/conf-au/machine-learning-based-speech-processing-solution-for-facilitating-early-diagnosis-of-parkinsons-disease.pdf.