Prem R. Adhikari Email & Phone Number

Melbourne, Victoria, Au

Melbourne, Victoria, Au

Melbourne, Victoria, Au

Melbourne, Victoria, Au

Mississauga, Ontario, Ca

I was responsible for predictive maintenance related projects with client. I also was involved in automating the cleaning of master data for a client.

Turun Yliopisto, Fi

Project Plan: Extract meaning from large-scale heterogeneous data, investigate biomarkers for disease; develop and commercialise disease diagnosis, prognosis, and follow-up software using powerful machine learning and data mining algorithms. Key responsibilities:• Optimising and applying state-of-the-art machine learning, data mining, and analysis methods in disease diagnosis• Revealing and visualising the structure of heterogeneous data by clustering• Identifying and validating biomarkers (Feature Selection) for disease diagnosis. Identified 10 robust markers from tens of thousands of variables. A notification of invention (patent) to the patenting organisations is submitted• Predicting the follow-up medical status of the patients (disease, recurrence, infertility, pain). Prediction accuracy improved to over 90% for disease diagnosis, and over 80% for recurrence prediction. Human Accuracy is ~70% • Acting as a project manager working closely with different stakeholders such as biologists, clinicians, software developers, business persons, and patients to ensure the project meets the business needs

Espoo, Espoo, Fi

My responsibilities included* Identifying, investigating, and analysing current state-of-the-art data analysis methods for differently represented data* Taking responsibility for designing, implementing and evaluating the proposed solutions for data analysis and visualisation, such as creating, adopting, and implementing new algorithms and methods ensuring high quality research* Collaborating with researchers and application area specialists to formulate and document research project requirements and plans* Creating documentation for the project, finalising the research documentation to be published as conference proceedings, journal articles, technical reports, and theses for knowledge dissemination* Acting as a central reference and information source, providing assistance for timely completion of the collaborative research project

Espoo, Espoo, Fi

While at Aalto University School of Science, I was a member of the Parsimonious Modeling Research Group in HIIT and ALGODAN Center of Excellence. D.Sc. (Tech.) Jaakko Hollmén took the burden of advising and Professor Samuel Kaski of supervising my research. My research focused on probabilistic modeling in cancer genomics, especially on multi-resolution modeling of chromosomal aberrations patterns in cancer.

Espoo, Espoo, Fi

My responsibilities included:* Assisting Professor Erik Aurell in organizing the post–graduate course Quantitative Systems Biology* Preparing course materials, updating and maintaining course web-page* Organizing and lecturing the tutorial sessions and reviewing assignments

Espoo, Espoo, Fi

Masters Degree in Machine Learning and Data Mining (Macadamia)

Doctor Of Science (Technology), Machine Learning And Data Mining

Masters, Machine Learning And Data Mining