Hande Topa
Postdoctoral Researcher at Helsinki Institute of Life Science (HiLIFE), Neuroscience Center- Claim this Profile
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Bio
Experience
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Helsinki Institute of Life Science (HiLIFE)
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Finland
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Research Services
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1 - 100 Employee
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Postdoctoral Researcher
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Jan 2021 - Present
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IQVIA Nordics
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Sweden
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Hospitals and Health Care
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1 - 100 Employee
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Biostatistician
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Sep 2020 - Dec 2020
Contributed to the writing of statistical analysis plans in complience with standard operating procedures. Contributed to the writing of statistical analysis plans in complience with standard operating procedures.
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Institute for Molecular Medicine Finland (FIMM)
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Finland
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Research
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1 - 100 Employee
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Postdoctoral Researcher
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2017 - Aug 2020
- Worked on a Bayesian multivariate method for identifying gene variants with similar effects on multiple metabolites. - Assisted in the course "High Dimensional Statistics" in Fall 2019. - Took part in organizing social events as a member of the FIMM PhD student and postdoc council. - Worked on a Bayesian multivariate method for identifying gene variants with similar effects on multiple metabolites. - Assisted in the course "High Dimensional Statistics" in Fall 2019. - Took part in organizing social events as a member of the FIMM PhD student and postdoc council.
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University of Helsinki
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Finland
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Higher Education
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700 & Above Employee
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Doctoral Researcher
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Jan 2016 - Dec 2016
Continued my doctoral work and implemented my proposed method as an R package. - Tools: R, Sweave, Knitr, LaTeX, bash, git, computer cluster services provided by the university. Continued my doctoral work and implemented my proposed method as an R package. - Tools: R, Sweave, Knitr, LaTeX, bash, git, computer cluster services provided by the university.
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Aalto University Department of Computer Science
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Finland
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Research Services
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1 - 100 Employee
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Doctoral Researcher
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Dec 2011 - Dec 2015
As part of my doctoral work, I developed a Gaussian process-based method for modeling NGS time series data which yielded better performance compared to pre-existing methods which were suggested for similar problems. I attended a number of conferences to present my work. - Tools: Matlab, R, various bioinformatics tools, LaTeX, bash, git, computer cluster services provided by the university. - Methods: Gaussian processes, Bayesian modeling, sequence alignment, etc. As part of my doctoral work, I developed a Gaussian process-based method for modeling NGS time series data which yielded better performance compared to pre-existing methods which were suggested for similar problems. I attended a number of conferences to present my work. - Tools: Matlab, R, various bioinformatics tools, LaTeX, bash, git, computer cluster services provided by the university. - Methods: Gaussian processes, Bayesian modeling, sequence alignment, etc.
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Education
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Aalto University
Doctor of Science (Technology), Computer and Information Science -
Lund University
Master of Science (M.S.), Mathematical Statistics -
Middle East Technical University
Bachelor of Science (B.S.), Statistics