معرفی
Immanuel Sanka is a Full-stack Bioinformatician currently working at Icosagen OÜ and holding a part-time position as an Engineer at Tallinn University of Technology, School of Science, Department of Chemistry and Biotechnology. He completed his PhD in 2023 with a dissertation titled "User-friendly Analysis of Droplet Experiments" under the supervision of Ott Scheler and Olli-Pekka Aukusti Smolander.
His educational background includes:
- PhD in Bioinformatics, Tallinn University of Technology (2019-2023)
- M.Sc. from Uppsala University (2016-2018)
- Bachelor's degree (S.Si) from Universitas Gadjah Mada (2010-2015)
Dr. Sanka specializes in the intersection of biology and technology, with research interests spanning bioinformatics, biotechnology, molecular biology, and microfluidics. His work focuses on developing scalable solutions and tools for data-driven projects, particularly in droplet-based analysis systems. He has made significant contributions to the field of droplet microfluidics, developing user-friendly software for image analysis and high-throughput screening applications.
His publication record shows a strong emphasis on droplet-based technologies with applications across biodetection, bacterial analysis, synthetic biology, and environmental studies. The research demonstrates a consistent pattern of bridging computational approaches with experimental biology while prioritizing practical, accessible tools for scientific researchers.
Scientific recognition:
- Gold Medal and Best Manufacturing in International Genetically Engineered Machine (iGEM) Competition with Uppsala University Overgrad Category (2017)
Dr. Sanka has been actively involved in significant research projects, including the CogniFlow-Cyte project (2020-2024), a Cognitronic Lab-on-a-Chip System for Highly-Automated Flow Cytometry funded by the Estonian Research Council with 1,311,375 EUR. His collaborative work spans multiple institutions and countries, reflecting the interdisciplinary nature of his research.
His technical expertise encompasses software development for biological applications, microfluidic systems analysis, and computational approaches to biological problems. He maintains an active research profile with consistent publication output across multiple high-impact journals and continues to advance methodologies in droplet-based analysis systems.
