Kalin Nonchev

	About me
	My name is Kalin and I am originally from Karlovo, Bulgaria. At present, I am a doctoral candidate under the supervision of Prof. Gunnar Rätsch in the Institute for Machine Learning at ETH Zurich. During my bachelor’s in bioinformatics at the TU Munich and LMU, I worked with Prof. Julien Gagneur on rare disease genomics. I held a scholarship awarded by the Bavarian Ministry of Science, Research, and Art and the German Academic Exchange Service (DAAD). During my master’s at ETH Zurich, I contributed to projects in single-cell analysis at the Functional Genomics Center Zurich and medical device applications at Roche Diagnostics. My research focuses on understanding the gap between genotype and phenotype in rare diseases. I am committed to advancing machine learning research in biomedicine to improve clinical decision-making. A large part of the human genome is still not understood; hence I want to contribute my knowledge and time to the interpretation of multi-omics data. I believe this is the key to more accurate disease diagnoses for patients, and, more importantly, the well-proven rationale for their therapies.

My name is Kalin and I am originally from Karlovo, Bulgaria. At present, I am a doctoral candidate under the supervision of Prof. Gunnar Rätsch in the Institute for Machine Learning at ETH Zurich. During my bachelor’s in bioinformatics at the TU Munich and LMU, I worked with Prof. Julien Gagneur on rare disease genomics. I held a scholarship awarded by the Bavarian Ministry of Science, Research, and Art and the German Academic Exchange Service (DAAD). During my master’s at ETH Zurich, I contributed to projects in single-cell analysis at the Functional Genomics Center Zurich and medical device applications at Roche Diagnostics.

My research focuses on understanding the gap between genotype and phenotype in rare diseases. I am committed to advancing machine learning research in biomedicine to improve clinical decision-making. A large part of the human genome is still not understood; hence I want to contribute my knowledge and time to the interpretation of multi-omics data.
I believe this is the key to more accurate disease diagnoses for patients, and, more importantly, the well-proven rationale for their therapies.

Recent highlights

Conference Kipoi Summit “New horizons in Computational Regulatory Genomics” 2023, Zugspitze, Germany
- Abstract acceptance and talk: “Representation learning for multi-modal spatially resolved data”
Conference PharmaCamp “Drug discovery in the era of Precision Medicine and Digitalization” 2023, Bern, Switzerland
Open Day Functional Genomics Center Zurich 2022, Zurich, Switzerland
- Poster titled “Single-cell RNA analysis of Xenograft Tumor and its Host Environment”
Healthcare Xplorer Challenge Conference of Roche 2022
- Project proposal and talk on “Interpretable Machine Learning models for automated quality assessment of measurement results” aiming to enhance the development of medical and diagnostic products through machine learning

Some movies…	Some books…	Some quotes…

Well, I have to finish this resume in the near future…

Kalin Nonchev

Doctoral Candidate in Computer Science, ETH Zurich

Recent highlights