Experience

Institute for Molecular Medicine Finland (FIMM)

• Finland
• Research
• 1 - 100 Employee

• Bioinformatician

  • Nov 2019 - Present

  NGS Pipeline Development | Problem-solving | Data Visualization | Teamwork | Biostatistics | Python | R programming | Customer Oriented services | NGS Pipeline Development: bulk-RNAseq, single-cell RNAseq, small-RNAseq data analysis pipeline development | Teamwork | Python | R programming | Nextflow | DevOps 1) Development of NGS data analytics pipeline for RNAseq, ChIPseq, and single-cell RNAseq using nextflow framework on the cloud server. 2) Provide NGS data analysis, data integration and, data visualization services to customers. Show less



Hematology Research Unit Helsinki (HRUH), University of Helsinki

• Helsinki Area, Finland

• Postdoctoral Researcher (Bioinformatics)

  • Jul 2017 - Oct 2019

  Project Management | Critical thinking | Problem-solving | Data Visualization | Teamwork | Biostatistics | Machine Learning | Clinical data Integration and Analysis | R programming o Applied machine learning models on high dimensional genomics and drug screening data of cancer patients to identify predictive biomarkers. o Data integrated from different clinical studies and applied statistical tests for the segregation and stratification of cancer patient samples. Project Management | Critical thinking | Problem-solving | Data Visualization | Teamwork | Biostatistics | Machine Learning | Clinical data Integration and Analysis | R programming o Applied machine learning models on high dimensional genomics and drug screening data of cancer patients to identify predictive biomarkers. o Data integrated from different clinical studies and applied statistical tests for the segregation and stratification of cancer patient samples.



Institute for Molecular Medicine Finland (FIMM)

• Finland
• Research
• 1 - 100 Employee

• Doctoral Researcher (Bioinformatics)

  • Sep 2011 - Jun 2017

  Model development | Problem-solving | Data Integration, analysis, visualization | Teamwork | R | Python o Quantitative model development, validation, testing, and implementation of analytical models for high-throughput drug screening data for the personalized treatment of cancer patients. o Implemented advanced machine learning algorithms to identify predictive biomarkers for cancer patients. PhD Thesis: Quantitative modeling and analysis of drug screening data for personalized cancer medicine https://helda.helsinki.fi/handle/10138/176298 Show less



University of Heidelberg

• Research Services
• 700 & Above Employee

• Research Assistant

  • Feb 2011 - Aug 2011

  Mathematical modeling of the JAK/STAT pathway. Quantitative model development | Problem-solving | Data analysis | Data presentation | Data visualization | MatLab Mathematical modeling of the JAK/STAT pathway. Quantitative model development | Problem-solving | Data analysis | Data presentation | Data visualization | MatLab



Sikkim Manipal University, India

• Lecturer

  • Aug 2008 - Jul 2009

  Taught courses "Advanced topics in Bioinformatics" and "Data Mining and Data Warehousing" for B.Sc. Supervise students. Taught courses "Advanced topics in Bioinformatics" and "Data Mining and Data Warehousing" for B.Sc. Supervise students.



Serene Informatics

• Project student (BTech project)

  • Nov 2007 - Jan 2008

  Modeling of channel protein sequences for phosphorylation site prediction using HMMs under the guidance of Dr. Ravikumar KE (https://www.linkedin.com/in/ravikumarke/) Modeling of channel protein sequences for phosphorylation site prediction using HMMs under the guidance of Dr. Ravikumar KE (https://www.linkedin.com/in/ravikumarke/)